Remote Canada
About SH/FT Shift Paradigm is an execution-led strategic consultancy that bridges the gap between enterprise strategy and technical reality. We partner with Fortune 500 brands and emerging leaders to solve the inherent complexity of modern digital marketing. As partners to the world’s leading MarTech platforms including Adobe Salesforce Optimizely and Braze we deploy integrated experts across data analytics marketing strategy technology development engineering and revenue operations to ensure our clients’ tech stacks don't just exist but perform. The Role We are seeking a forward-thinking consultative Data & Analytics Engineer to design build and maintain enterprise marketing data models ontologies and semantic context layers. In this role you will act as a strategic bridge between business leaders and technical execution—partnering directly with clients to understand their strategic goals and translating those business requirements into scalable warehouse-native data infrastructure. Beyond core data engineering you will spearhead how our clients' data ecosystems adapt to an evolving agentic future. You will architect the semantic models and data integration patterns required to power autonomous AI agents both native to modern cloud data platforms (such as Databricks and Snowflake) and across connected MarTech platforms (such as Salesforce Hightouch). What You'll Accomplish Consultative Requirements & Architecture Partner with key business stakeholders to uncover core business goals mapping complex business domain needs into unified data engineering solutions semantic layers and robust warehouse architectures. Agentic & AI Data Readiness Architect forward-looking context layers and semantic models designed specifically for AI/LLM-driven engines and autonomous agents—ensuring data ecosystems (from modern cloud warehouses to activation platforms like Hightouch and Salesforce) are structured for reliable execution. Taxonomy & Metadata Engineering Design scalable data models (e.g. Medallion/Multi-layer architectures) to house controlled classification hierarchies unified asset tags and standardized business glossaries across marketing channels. Identity & Semantic Modeling Build and maintain deterministic and probabilistic identity resolution models and graph-like bridge tables to resolve customer identities across CRM IDs device tokens and digital touchpoints. Cross-System Pipeline Integration Lead the technical integration of complex cross-system datasets developing high-performance ingestion and transformation pipelines to unify marketing metadata CDP activation models DAM content and real-time telemetry. Data Governance & Quality Implement enterprise governance business glossaries access controls and data cataloging (e.g. Unity Catalog Snowflake Horizon) to enable secure self-service analytics and reliable AI execution. What You Bring Experience & Expertise 5+ years of hands-on experience in data engineering analytics engineering or data architecture building production-grade data pipelines and semantic models. 2+ years in a client-facing consultative or strategic lead role—demonstrated ability to run discovery map business goals to technical architectures and present solutions to cross-functional stakeholders. Consultative Mindset Strong ability to navigate ambiguity translate non-technical business strategies into clear technical specifications and articulate technical trade-offs to executives and cross-functional teams. Strategic Vision for AI/Agents A keen interest in the shift toward agentic AI with an understanding of how data modeling semantics and context layers must adapt to support autonomous workflows across data platforms and marketing engines. Cloud Data Platform Expertise Hands-on experience designing production pipelines and semantic data models across modern cloud data platforms with deep expertise in Databricks Snowflake or equivalent architectures. Advanced Data Engineering Skills Proficiency in SQL Python/PySpark data pipeline orchestration and modern data stack tooling (e.g. dbt). Domain & Integration Knowledge Experience with marketing technology (MarTech) Customer Data Platforms (CDPs) reverse ETL tools (e.g. Hightouch Census) and enterprise platforms (e.g. Salesforce Marketing Cloud CRMs). Data Modeling Fundamentals Proven track record in multi-dimensional schema design identity resolution modeling graph/hierarchical structures and API payload parsing (nested JSON/REST). Relevant Certifications (Preferred) Professional Data Engineer / Analytics Engineer certifications in Databricks or Snowflake. Preferred Certifications Databricks Certified Data Engineer Professional or Certified Analytics Engineer. Snowflake SnowPro Core or SnowPro Advanced Architect. dbt dbt Cloud Developer Certification. Mindset Forward-Thinking AI Perspective Active interest and practical awareness of agentic AI concepts (e.g. tool use LLM context retrieval autonomous agent workflows) and how data modeling must evolve to serve them. Remote & Autonomous Ability to manage complex deliverables independently in a distributed fast-paced environment. What We Offer - Competitive compensation aligned with your experience and impact Remote flexibility Collaborative culture that values diverse perspectives and innovative thinking Work that makes a measurable difference for your clients Why SH/FT SH/FT is a consultancy built for transformation. We bridge the gap between marketing data and technology to unlock growth for some of the world's most recognized brands. At SH/FT you'll shape the future of how organizations connect with their customers through intelligent architecture scalable systems and the power of data-driven strategy. Comp & Benefits - The US salary range for this role is $120000 to $140000 USD. Salary is based on several factors including but not limited to skillset relevant education level of experience certifications and scope of responsibilities. In addition to base salary SH/FT offers benefits such as medical dental vision STD/LTD Life/AD&D Flexible Paid Time Off and various other ancillary benefits and perks. We welcome and encourage applications from people with disabilities under the Accessibility for Ontarians with Disabilities Act. Accommodations are available on request for candidates taking part in all aspects of the selection process. Candidates must have current US or Canada work authorization. For US candidates this employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US. No relocation assistance can be offered at this time. All inquiries are held in strict confidence. The pay range for this role is 120000 - 140000 USD per year(Remote (United States))
Remote Brazil
We are looking for Lead Data Engineer & Architect (Snowflake & GCP) to join our team. Primary Skills Snowflake GCP (Datastream CDC) or AWS Nice to have dbt GitHub CI/CD FinOps Join us as a Lead Data Engineer & Architect (Snowflake & GCP) and help power our next-generation regional data platform for credit risk analytics device financing and real-time operations transforming the way financial services are delivered to thousands of end users and merchant partners across 8 countries. We are a fast-growing multinational Fintech leader transforming financial inclusion and consumer credit across 8 countries in Latin America (including Mexico Colombia Panama and Central America). We build innovative financing solutions—combining credit lines proprietary device-financing technology and advanced analytics—to empower our regional ecosystem. We seek a mature highly experienced Lead Data Engineer & Architect with 5+ years of technical expertise who thrives in complex multi-country cloud environments—balancing deep data engineering execution with multi-region architectural governance security and FinOps strategic leadership. Your primary strength will be designing building and optimizing production environment architectures in Snowflake alongside GCP core ingestion services (Cloud SQL Datastream CDC Cloud Storage). Deep experience in semantic layer delivery using dbt and infrastructure-as-code via Snowflake Database Change Management (DCM) Projects integrated with GitHub is required. As a technical leader you will engage across Product Risk Engineering BI and Regional Leadership forging strong relationships to deliver real business value. Here thoughtful communication and constructive negotiation are as critical as engineering prowess. Responsibilities Architecture & Modernization Lead the architecture end-to-end development and continuous improvement of our multi-country data platform across 8 LATAM operations advocating for modern scalable and secure solutions primarily in Snowflake and Google Cloud Platform (GCP). Pipeline & Ingestion Engineering Build and maintain scalable ingestion and streaming pipelines connecting GCP Cloud SQL via Datastream (CDC) into GCP Cloud Storage (Bronze Layer) and onward into Snowflake using Snowpipe Streams and Tasks. Semantic Layer & Data Modeling Implement and standardize the core data model (Star Schema Medallion Architecture) using dbt to create an explicit reliable semantic layer for cross-country analytics and BI consumption. Data Operations & CI/CD Establish modern DataOps practices by managing database objects deployments and versions via Snowflake DCM Projects directly integrated with GitHub CI/CD pipelines. Governance & Security Architecture Define and enforce multi-country data governance granular RBAC (Role-Based Access Control) dynamic data masking row-level security and strict compliance with local PII / personal data protection laws across all 8 jurisdictions. FinOps & Performance Optimization Actively manage cloud economics by optimizing virtual warehouse sizing clustering keys query execution caching auto-suspend rules and resource monitors to keep Snowflake credit consumption predictable and efficient. Stakeholder Alignment Act as a bridge between technical and non-technical stakeholders translating business goals into robust data pipelines while keeping query execution fast and reliable for Product Risk and Executive teams. Mentorship & Quality Culture Mentor and inspire data engineers introducing software engineering best practices (testing code reviews automated CI/CD) into data workflows and fostering a transparent feedback-rich engineering environment. Requirements Education Bachelor's degree or higher in Computer Science Software Engineering Data Engineering or a related quantitative field. Snowflake Expertise 3+ years of hands-on production experience in Snowflake (or 5+ years in cloud data warehousing with 1+ dedicated to Snowflake). Master-level knowledge of virtual warehouses micro-partitioning Streams & Tasks Snowpipe Time Travel Zero-Copy Cloning and Snowpark. Mandatory GCP Cloud Experience Proven practical experience working with Google Cloud Platform (GCP) specifically GCP Cloud Storage Cloud SQL and Datastream (CDC) for raw data ingestion. Semantic Modeling & Software Engineering Tools dbt (dbt Core or Cloud) for transformational workflows and Snowflake DCM Projects / Git for version control and data-as-code infrastructure deployments. Advanced Code & Scripting Expert proficiency in Advanced SQL and strong proficiency in Python for automated scripting data processing and custom integrations. Data Security & Governance Concrete experience designing multi-tenant or multi-country security architectures including dynamic PII masking RBAC policies and regulatory compliance. Stakeholder & Leadership Skills Outstanding technical communication and negotiation skills. Ability to explain architectural trade-offs to non-technical business leaders in Spanish and produce technical documentation in English. Language Proficiency Professional fluency in Spanish (operational requirement across LATAM teams) and strong written/spoken English (for global vendor/engineering standards). Nice to Haves SnowPro Core or SnowPro Advanced Architect certification. Prior experience in the Fintech Banking or Consumer Credit sector dealing with LATAM regulatory environments. Direct experience integrating downstream BI platforms (Power BI Looker Tableau) with Snowflake semantic layers. We offer Flexible working format - remote office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program tech talks and trainings centers of excellence and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits not applicable for freelancers
Remote Argentina
We are looking for Lead Data Engineer & Architect (Snowflake & GCP) to join our team. Primary Skills Snowflake GCP (Datastream CDC) or AWS Nice to have dbt GitHub CI/CD FinOps Join us as a Lead Data Engineer & Architect (Snowflake & GCP) and help power our next-generation regional data platform for credit risk analytics device financing and real-time operations transforming the way financial services are delivered to thousands of end users and merchant partners across 8 countries. We are a fast-growing multinational Fintech leader transforming financial inclusion and consumer credit across 8 countries in Latin America (including Mexico Colombia Panama and Central America). We build innovative financing solutions—combining credit lines proprietary device-financing technology and advanced analytics—to empower our regional ecosystem. We seek a mature highly experienced Lead Data Engineer & Architect with 5+ years of technical expertise who thrives in complex multi-country cloud environments—balancing deep data engineering execution with multi-region architectural governance security and FinOps strategic leadership. Your primary strength will be designing building and optimizing production environment architectures in Snowflake alongside GCP core ingestion services (Cloud SQL Datastream CDC Cloud Storage). Deep experience in semantic layer delivery using dbt and infrastructure-as-code via Snowflake Database Change Management (DCM) Projects integrated with GitHub is required. As a technical leader you will engage across Product Risk Engineering BI and Regional Leadership forging strong relationships to deliver real business value. Here thoughtful communication and constructive negotiation are as critical as engineering prowess. Responsibilities Architecture & Modernization Lead the architecture end-to-end development and continuous improvement of our multi-country data platform across 8 LATAM operations advocating for modern scalable and secure solutions primarily in Snowflake and Google Cloud Platform (GCP). Pipeline & Ingestion Engineering Build and maintain scalable ingestion and streaming pipelines connecting GCP Cloud SQL via Datastream (CDC) into GCP Cloud Storage (Bronze Layer) and onward into Snowflake using Snowpipe Streams and Tasks. Semantic Layer & Data Modeling Implement and standardize the core data model (Star Schema Medallion Architecture) using dbt to create an explicit reliable semantic layer for cross-country analytics and BI consumption. Data Operations & CI/CD Establish modern DataOps practices by managing database objects deployments and versions via Snowflake DCM Projects directly integrated with GitHub CI/CD pipelines. Governance & Security Architecture Define and enforce multi-country data governance granular RBAC (Role-Based Access Control) dynamic data masking row-level security and strict compliance with local PII / personal data protection laws across all 8 jurisdictions. FinOps & Performance Optimization Actively manage cloud economics by optimizing virtual warehouse sizing clustering keys query execution caching auto-suspend rules and resource monitors to keep Snowflake credit consumption predictable and efficient. Stakeholder Alignment Act as a bridge between technical and non-technical stakeholders translating business goals into robust data pipelines while keeping query execution fast and reliable for Product Risk and Executive teams. Mentorship & Quality Culture Mentor and inspire data engineers introducing software engineering best practices (testing code reviews automated CI/CD) into data workflows and fostering a transparent feedback-rich engineering environment. Requirements Education Bachelor's degree or higher in Computer Science Software Engineering Data Engineering or a related quantitative field. Snowflake Expertise 3+ years of hands-on production experience in Snowflake (or 5+ years in cloud data warehousing with 1+ dedicated to Snowflake). Master-level knowledge of virtual warehouses micro-partitioning Streams & Tasks Snowpipe Time Travel Zero-Copy Cloning and Snowpark. Mandatory GCP Cloud Experience Proven practical experience working with Google Cloud Platform (GCP) specifically GCP Cloud Storage Cloud SQL and Datastream (CDC) for raw data ingestion. Semantic Modeling & Software Engineering Tools dbt (dbt Core or Cloud) for transformational workflows and Snowflake DCM Projects / Git for version control and data-as-code infrastructure deployments. Advanced Code & Scripting Expert proficiency in Advanced SQL and strong proficiency in Python for automated scripting data processing and custom integrations. Data Security & Governance Concrete experience designing multi-tenant or multi-country security architectures including dynamic PII masking RBAC policies and regulatory compliance. Stakeholder & Leadership Skills Outstanding technical communication and negotiation skills. Ability to explain architectural trade-offs to non-technical business leaders in Spanish and produce technical documentation in English. Language Proficiency Professional fluency in Spanish (operational requirement across LATAM teams) and strong written/spoken English (for global vendor/engineering standards). Nice to Haves SnowPro Core or SnowPro Advanced Architect certification. Prior experience in the Fintech Banking or Consumer Credit sector dealing with LATAM regulatory environments. Direct experience integrating downstream BI platforms (Power BI Looker Tableau) with Snowflake semantic layers. We offer Flexible working format - remote office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program tech talks and trainings centers of excellence and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits not applicable for freelancers
Job Description Type of Requisition Regular Clearance Level Must Currently Possess None Clearance Level Must Be Able To Obtain None Public Trust/Other Required BI Full 6C (T4) Job Family Cyber and IT Risk Management Skills Job Qualifications GitHub Jira and Confluence administration Web Application Security Certifications None Experience 5 + years of related experience US Citizenship Required No Job Description Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Performance & Data Optimization Engineer will work as part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance engineering data platform reporting analytics and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program. The successful candidate will be responsible for monitoring and optimizing the performance of the enterprise cloud data platform focusing on database performance query execution indexing strategies and overall platform efficiency. This role identifies bottlenecks tunes queries and platform configurations and partners with data engineering and platform teams to ensure the CMM Data Modernization & Governance platform runs efficiently reliably and cost-effectively at scale. THE PERFORMANCE & DATA OPTIMIZATION ENGINEER WILL EXECUTE THE FOLLOWING RESPONSIBILITIES Optimize databases and platform performance across cloud data warehouses/lakes including query execution indexing partitioning and caching. Monitor system health manage incidents events and operational reporting. Diagnose and resolve performance bottlenecks in queries pipelines and resource utilization (CPU memory storage network I/O concurrency). Analyze and tune SQL ETL/ELT data models ingestion patterns and workload performance for efficiency and cost. Establish and maintain SLAs baselines dashboards and automated monitoring/alerting. Plan capacity perform workload analysis and guide scaling and cost-optimization decisions. Collaborate with platform engineers DBAs architects and application teams to optimize compute/storage configurations and resolve issues. Maintain access controls user roles and identity integrations including SSO MFA and JENIE-based least privilege enforcement. Provide disaster recovery and continuity options including high availability fault tolerance and automated failover. Integrate DevSecOps tools and processes with enterprise systems to ensure unified security posture. Manage centralized secrets with automated rotation access logging and policy enforcement. Embed SAST DAST SCA and CSPM tools into CI/CD for continuous assessment and remediation. Implement automated continuous 24/7 monitoring for security performance and compliance with real-time dashboards. Ensure automated SBOM generation and management for all deployed artifacts. Provide diagnostics metrics gathering and performance tuning support canary releases for testing. Collaborate with data governance and data quality teams to ensure performance optimization efforts align with data standards and controls. Collaborate with Data Platform Engineers Database Administrators Data Architects and Data Engineers to resolve performance issues. Perform automated full-stack health checks at agreed intervals. Deliver monthly reports covering incidents stability performance configurations ticket volume and resolution times. Support high availability disaster recovery and business continuity requirements. Contribute to platform performance standards engineering guidelines and optimization best practices. QUALIFICATIONS Education Bachelor’s degree in Computer Science Software Engineering or related field. Experience 5+ years’ experience in IT system engineering development and programming with a strong focus on diagnosing optimizing and improving system and data‑pipeline performance. Deep expertise in AWS services across compute storage networking monitoring and logging. Proficient with IaC tools (Terraform CloudFormation Azure Bicep) for building optimized cost‑efficient autoscaling infrastructure configurations. Experienced with monitoring/APM platforms (CloudWatch Azure Monitor Datadog Prometheus Grafana New Relic) focusing on identifying performance bottlenecks improving query and workload efficiency and reducing latency. Strong background in incident response and change management with the ability to quickly isolate troubleshoot and resolve performance degradation issues. Skilled with CI/CD toolchains (Jenkins GitHub Actions GitLab ArgoCD) to optimize build and deployment pipelines and reduce performance overhead. Strong scripting abilities (Python PowerShell Bash). Advanced DevSecOps and GitOps experience with the ability to optimize deployment workflows automate testing and ensure high‑performance release pipelines. Hands-on experience building testing and maintaining containerized applications. Expert in version control and enterprise CI/CD pipelines leveraging automation to streamline performance‑critical workflows. Flexible collaborator across multiple teams and products. Experience with FinOps cost modeling forecasting and cloud cost optimization. Knowledge of federal compliance frameworks (FedRAMP NIST JISF Rev 5). Skilled in log/metric analysis and cloud performance tuning. Experienced working across product teams to assess system health. Strong SQL and database performance‑tuning skills with ability to optimize ELT/ETL pipelines refactor SQL logic tune joins improve concurrency and tune execution plans. Experience in query optimization indexing partitioning clustering and execution-plan analysis. Familiar with cloud data platforms and distributed data-processing environments. Strong performance‑monitoring and troubleshooting capabilities for database optimization pipeline tuning and cloud‑platform efficiency improvements. Excellent analytical and problem‑solving skills. Preferred experience with Snowflake Databricks Amazon Redshift PostgreSQL SQL Server Oracle or equivalent platforms. Preferred experience with optimizing large-scale analytical workloads. PREFERRED CERTIFICATIONS One or more of the following certifications is preferred but not required . Certified Data Management Professional (CDMP) Snowflake SnowPro Advanced Databricks Certified Data Professional AWS Certified Data Analytics – Specialty AWS Certified Solutions Architect – Professional AWS Certified Data Engineer Docker Certified Associate. Certified Kubernetes Administrator Certified Professional DevSecOps Certification Course ITIL AWS SysOps Google Cloud DevOps Engineer. Security Clearance Level Must be able to pass a background check to obtain a position of Public Trust. Must be a US Person (Green Card Holder US Permanent Resident Alien Refugee Asylee or US Citizen). Location Remote. GDIT IS YOUR PLACE At GDIT the mission is our purpose and our people are at the center of everything we do. Growth AI-powered career tool that identifies career steps and learning opportunities Support An internal mobility team focused on helping you achieve your career goals Rewards Comprehensive benefits and wellness packages 401K with company match and competitive pay and paid time off Flexibility Full-flex work week to own your priorities at work and at home Community Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in program management at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results. GDITLA The likely salary range for this position is $128039 - $173229. This is not however a guarantee of compensation or salary. Rather salary will be set based on experience geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours 40 Travel Required Less than 10% Telecommuting Options Remote Work Location Any Location / Remote Additional Work Locations Total Rewards At GDIT Our benefits package for all US-based employees includes a variety of medical plan options some with Health Savings Accounts dental plan options a vision plan and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance GDIT offers employees full flex work weeks where possible and a variety of paid time off plans including vacation sick and personal time holidays paid parental military bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations personal business and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income other offerings such as short and long-term disability benefits life accidental death and dismemberment personal accident critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Our Identity Verification Process As part of the hiring process we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding you authorize the collection processing and use of your biometric data for identity verification and security purposes. About Our Work We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government defense and intelligence community. Our 26000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide offering leading mission-ready capabilities in AI cloud cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Remote Uruguay
We are looking for Lead Data Engineer & Architect (Snowflake & GCP) to join our team. Primary Skills Snowflake GCP (Datastream CDC) or AWS Nice to have dbt GitHub CI/CD FinOps Join us as a Lead Data Engineer & Architect (Snowflake & GCP) and help power our next-generation regional data platform for credit risk analytics device financing and real-time operations transforming the way financial services are delivered to thousands of end users and merchant partners across 8 countries. We are a fast-growing multinational Fintech leader transforming financial inclusion and consumer credit across 8 countries in Latin America (including Mexico Colombia Panama and Central America). We build innovative financing solutions—combining credit lines proprietary device-financing technology and advanced analytics—to empower our regional ecosystem. We seek a mature highly experienced Lead Data Engineer & Architect with 5+ years of technical expertise who thrives in complex multi-country cloud environments—balancing deep data engineering execution with multi-region architectural governance security and FinOps strategic leadership. Your primary strength will be designing building and optimizing production environment architectures in Snowflake alongside GCP core ingestion services (Cloud SQL Datastream CDC Cloud Storage). Deep experience in semantic layer delivery using dbt and infrastructure-as-code via Snowflake Database Change Management (DCM) Projects integrated with GitHub is required. As a technical leader you will engage across Product Risk Engineering BI and Regional Leadership forging strong relationships to deliver real business value. Here thoughtful communication and constructive negotiation are as critical as engineering prowess. Responsibilities Architecture & Modernization Lead the architecture end-to-end development and continuous improvement of our multi-country data platform across 8 LATAM operations advocating for modern scalable and secure solutions primarily in Snowflake and Google Cloud Platform (GCP). Pipeline & Ingestion Engineering Build and maintain scalable ingestion and streaming pipelines connecting GCP Cloud SQL via Datastream (CDC) into GCP Cloud Storage (Bronze Layer) and onward into Snowflake using Snowpipe Streams and Tasks. Semantic Layer & Data Modeling Implement and standardize the core data model (Star Schema Medallion Architecture) using dbt to create an explicit reliable semantic layer for cross-country analytics and BI consumption. Data Operations & CI/CD Establish modern DataOps practices by managing database objects deployments and versions via Snowflake DCM Projects directly integrated with GitHub CI/CD pipelines. Governance & Security Architecture Define and enforce multi-country data governance granular RBAC (Role-Based Access Control) dynamic data masking row-level security and strict compliance with local PII / personal data protection laws across all 8 jurisdictions. FinOps & Performance Optimization Actively manage cloud economics by optimizing virtual warehouse sizing clustering keys query execution caching auto-suspend rules and resource monitors to keep Snowflake credit consumption predictable and efficient. Stakeholder Alignment Act as a bridge between technical and non-technical stakeholders translating business goals into robust data pipelines while keeping query execution fast and reliable for Product Risk and Executive teams. Mentorship & Quality Culture Mentor and inspire data engineers introducing software engineering best practices (testing code reviews automated CI/CD) into data workflows and fostering a transparent feedback-rich engineering environment. Requirements Education Bachelor's degree or higher in Computer Science Software Engineering Data Engineering or a related quantitative field. Snowflake Expertise 3+ years of hands-on production experience in Snowflake (or 5+ years in cloud data warehousing with 1+ dedicated to Snowflake). Master-level knowledge of virtual warehouses micro-partitioning Streams & Tasks Snowpipe Time Travel Zero-Copy Cloning and Snowpark. Mandatory GCP Cloud Experience Proven practical experience working with Google Cloud Platform (GCP) specifically GCP Cloud Storage Cloud SQL and Datastream (CDC) for raw data ingestion. Semantic Modeling & Software Engineering Tools dbt (dbt Core or Cloud) for transformational workflows and Snowflake DCM Projects / Git for version control and data-as-code infrastructure deployments. Advanced Code & Scripting Expert proficiency in Advanced SQL and strong proficiency in Python for automated scripting data processing and custom integrations. Data Security & Governance Concrete experience designing multi-tenant or multi-country security architectures including dynamic PII masking RBAC policies and regulatory compliance. Stakeholder & Leadership Skills Outstanding technical communication and negotiation skills. Ability to explain architectural trade-offs to non-technical business leaders in Spanish and produce technical documentation in English. Language Proficiency Professional fluency in Spanish (operational requirement across LATAM teams) and strong written/spoken English (for global vendor/engineering standards). Nice to Haves SnowPro Core or SnowPro Advanced Architect certification. Prior experience in the Fintech Banking or Consumer Credit sector dealing with LATAM regulatory environments. Direct experience integrating downstream BI platforms (Power BI Looker Tableau) with Snowflake semantic layers. We offer Flexible working format - remote office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program tech talks and trainings centers of excellence and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits not applicable for freelancers
Atlanta Boston Charlotte Chicago Dallas Los Angeles New York San Francisco
Company Overview We are the better way to work in finance. As private equity’s value creation partner we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data technology and AI we help clients drive value—supporting the office of the CFO to drive end-to-end value creation. If you crave challenging work and are looking to grow come solve complex issues alongside 1600+ finance & technology experts in a supportive collaborative environment. Backed by premier private equity firms and headquartered in New York with 11 offices around the globe we are a high-growth entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. Data & Analytics Accordion's Data & Analytics (D&A) team offers cutting-edge intelligent solutions to a global clientele leveraging a blend of domain knowledge sophisticated technology tools and deep analytics capabilities to tackle complex business challenges. We partner with Private Equity clients and their Portfolio Companies across diverse sectors including Retail CPG Healthcare Media & Entertainment Technology and Logistics. We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales Operations Marketing Pricing Customer Strategies and more. This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location. This position is not eligible for immigration sponsorship. About the Role and You Lead end-to-end delivery of modern data platforms for our clients—owning scope schedule budget and outcomes. You’ll run agile delivery teams guide medallion/lakehouse architectures and partner with clients to translate business goals into scalable solutions on Snowflake Azure & Databricks. What You'll Do Own program delivery Drive planning execution risk/issue management RAID logs dependencies and executive status reporting across multi-workstream data initiatives. Lead agile teams Stand up and mature Scrum/Kanban ceremonies backlog hygiene velocity forecasting and release management across data engineering analytics and platform ops. Architectural stewardship Ensure adherence to medallion (bronze/silver/gold) patterns data contracts CI/CD for data and governance/quality controls (DQ rules lineage observability). Cloud & platform delivery Orchestrate environments security and cost controls for Snowflake and Azure (ADF/Fabric Databricks Synapse Key Vault Purview). Client leadership Serve as the day-to-day executive contact run steering committees manage change requests and drive stakeholder alignment and adoption. Commercials & quality Own SOW scope staffing and margin forecast and track budgets enforce delivery standards and acceptance criteria tied to business KPIs. Enablement Coach PMs and tech leads codify playbooks/templates for repeatable delivery contribute to proposals and pre-sales as needed. Travel to client sites as needed What You’ll Bring 10+ years of technology delivery with 5+ years leading data platform or analytics programs in consulting/professional services. Proven success managing $1M–$5M+ multi-workstream programs with distributed teams. Hands-on familiarity with Snowflake (warehouses RBAC performance/cost tuning) and Azure data services (ADF/Fabric Databricks Synapse ADLS networking & security). Strong command of agile delivery (Scrum/Kanban) Jira/Azure DevOps release planning and CI/CD for data (Git-based workflows environments). Practical experience implementing medallion architectures and lakehouse patterns data modeling and data quality/observability. Stakeholder management at VP/C-suite level crisp written/oral communication and executive reporting. Nice to have regulated industries FinOps for data platforms data privacy/compliance (GDPR/CCPA) and analytics enablement (Power BI/Fabric). Preferred requirements BS/MS in CS IS Engineering or equivalent experience. PMP PMI-ACP or SAFe Snowflake SnowPro Microsoft Azure (DP-203 AZ-305) a plus. What Success Looks Like Programs delivered on-time/on-budget with measurable business outcomes (e.g. SLA improvements cost per query reductions faster time-to-insight). Stable secure and cost-efficient Snowflake/Azure platforms with clear operating models and playbooks. High client satisfaction (CSAT/NPS) and referenceable accounts. The annual salary for this role ranges from $170000 to $225000 USD + benefits + bonus. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate including but not limited to geographic location skill set years and depth of experience education certifications cost of labor and internal equity. Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds perspectives and skills. We do not discriminate on the basis of race color religion marital status age national origin ancestry physical or mental disability medical condition pregnancy genetic information gender sexual orientation gender identity or expression veteran status or any other status protected under federal state or local law. Please note that as per Accordion policy we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency person or entity. LI-NG1
Remote Colombia
We are looking for Lead Data Engineer & Architect (Snowflake & GCP) to join our team. Primary Skills Snowflake GCP (Datastream CDC) or AWS Nice to have dbt GitHub CI/CD FinOps Join us as a Lead Data Engineer & Architect (Snowflake & GCP) and help power our next-generation regional data platform for credit risk analytics device financing and real-time operations transforming the way financial services are delivered to thousands of end users and merchant partners across 8 countries. We are a fast-growing multinational Fintech leader transforming financial inclusion and consumer credit across 8 countries in Latin America (including Mexico Colombia Panama and Central America). We build innovative financing solutions—combining credit lines proprietary device-financing technology and advanced analytics—to empower our regional ecosystem. We seek a mature highly experienced Lead Data Engineer & Architect with 5+ years of technical expertise who thrives in complex multi-country cloud environments—balancing deep data engineering execution with multi-region architectural governance security and FinOps strategic leadership. Your primary strength will be designing building and optimizing production environment architectures in Snowflake alongside GCP core ingestion services (Cloud SQL Datastream CDC Cloud Storage). Deep experience in semantic layer delivery using dbt and infrastructure-as-code via Snowflake Database Change Management (DCM) Projects integrated with GitHub is required. As a technical leader you will engage across Product Risk Engineering BI and Regional Leadership forging strong relationships to deliver real business value. Here thoughtful communication and constructive negotiation are as critical as engineering prowess. Responsibilities Architecture & Modernization Lead the architecture end-to-end development and continuous improvement of our multi-country data platform across 8 LATAM operations advocating for modern scalable and secure solutions primarily in Snowflake and Google Cloud Platform (GCP). Pipeline & Ingestion Engineering Build and maintain scalable ingestion and streaming pipelines connecting GCP Cloud SQL via Datastream (CDC) into GCP Cloud Storage (Bronze Layer) and onward into Snowflake using Snowpipe Streams and Tasks. Semantic Layer & Data Modeling Implement and standardize the core data model (Star Schema Medallion Architecture) using dbt to create an explicit reliable semantic layer for cross-country analytics and BI consumption. Data Operations & CI/CD Establish modern DataOps practices by managing database objects deployments and versions via Snowflake DCM Projects directly integrated with GitHub CI/CD pipelines. Governance & Security Architecture Define and enforce multi-country data governance granular RBAC (Role-Based Access Control) dynamic data masking row-level security and strict compliance with local PII / personal data protection laws across all 8 jurisdictions. FinOps & Performance Optimization Actively manage cloud economics by optimizing virtual warehouse sizing clustering keys query execution caching auto-suspend rules and resource monitors to keep Snowflake credit consumption predictable and efficient. Stakeholder Alignment Act as a bridge between technical and non-technical stakeholders translating business goals into robust data pipelines while keeping query execution fast and reliable for Product Risk and Executive teams. Mentorship & Quality Culture Mentor and inspire data engineers introducing software engineering best practices (testing code reviews automated CI/CD) into data workflows and fostering a transparent feedback-rich engineering environment. Requirements Education Bachelor's degree or higher in Computer Science Software Engineering Data Engineering or a related quantitative field. Snowflake Expertise 3+ years of hands-on production experience in Snowflake (or 5+ years in cloud data warehousing with 1+ dedicated to Snowflake). Master-level knowledge of virtual warehouses micro-partitioning Streams & Tasks Snowpipe Time Travel Zero-Copy Cloning and Snowpark. Mandatory GCP Cloud Experience Proven practical experience working with Google Cloud Platform (GCP) specifically GCP Cloud Storage Cloud SQL and Datastream (CDC) for raw data ingestion. Semantic Modeling & Software Engineering Tools dbt (dbt Core or Cloud) for transformational workflows and Snowflake DCM Projects / Git for version control and data-as-code infrastructure deployments. Advanced Code & Scripting Expert proficiency in Advanced SQL and strong proficiency in Python for automated scripting data processing and custom integrations. Data Security & Governance Concrete experience designing multi-tenant or multi-country security architectures including dynamic PII masking RBAC policies and regulatory compliance. Stakeholder & Leadership Skills Outstanding technical communication and negotiation skills. Ability to explain architectural trade-offs to non-technical business leaders in Spanish and produce technical documentation in English. Language Proficiency Professional fluency in Spanish (operational requirement across LATAM teams) and strong written/spoken English (for global vendor/engineering standards). Nice to Haves SnowPro Core or SnowPro Advanced Architect certification. Prior experience in the Fintech Banking or Consumer Credit sector dealing with LATAM regulatory environments. Direct experience integrating downstream BI platforms (Power BI Looker Tableau) with Snowflake semantic layers. We offer Flexible working format - remote office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program tech talks and trainings centers of excellence and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits not applicable for freelancers
Remote United States
Clearance Level None Category Data Science and Data Engineering Location Remote Working from the USA Key Skills For Success Actionable Insights Data Analysis Data Analytics REQRQ227314 Public TrustBI Full 6C (T4) Requisition TypeRegular Your Impact Own your opportunity to support the missions that matter. From working with technologies like AI cyber and cloud to careers in intelligence and health we offer endless opportunities to apply your expertise to create a safer smarter world while building new skills to propel your career forward. Job Description - AI/ML ENGINEER SME Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an AI/ML Engineer SME at GDIT you’ll power innovation to drive mission impact and grow your expertise to power your career forward. MEANINGFUL WORK AND PERSONAL IMPACT Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The AI/ML Engineer will be part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance engineering data platform reporting analytics and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program. The successful candidate will be responsible for delivering advanced analytics visualizations statistical modeling and AI/ML capabilities including Generative AI and Agentic AI solutions predictive models forecasting and advanced analytics that provide data-driven decision-support tools and actionable insights to users and stakeholders of the CMM application. This role provides technical leadership strategic guidance and tool recommendations to accelerate product development and improve decision automation and overall CMM products. The role also oversees design development integration and continuous enhancement advanced analytics and AI/ML capabilities in alignment with strict federal compliance requirements. THE AI/ML ENGINEER WILL EXECUTE THE FOLLOWING RESPONSIBILITIES AI/ML & Advanced Analytics Define and execute AI/ML strategy aligned to CMM modernization objectives. Design develop deploy and maintain ML predictive forecasting Generative AI Agentic AI and advanced analytics solutions. Build and tune models using appropriate algorithms architectures and data pipelines. Develop LLM-powered applications RAG pipelines AI agents and intelligent automation capabilities. Apply statistical and advanced analytics methods to support data-driven decision-making. Evaluate foundation models commercial/open-source models and emerging AI technologies. Create proof-of-concepts and transition successful models to production. Document AI/ML architecture methodologies features and validation results. MLOps / LLMOps / AI Operations Automate model deployment monitoring versioning lineage and lifecycle management. Build and maintain MLOps/LLMOps pipelines integrated with CI/CD and DevSecOps. Implement automated model training testing validation deployment rollback and alerting. Monitor model performance drift and degradation trigger retraining as needed. Maintain reproducible environments and support scalable cloud deployment. Integrate AI/ML pipelines with data engineering and cloud platform services. Responsible AI & AI Governance Ensure compliance with Responsible AI requirements transparency fairness explainability security and privacy. Perform bias assessments model risk evaluations and bias mitigation strategies. Conduct and document explainability assessments and model interpretability. Lead ATO impact analysis for AI/ML capabilities support security privacy and authorization reviews. Maintain the AI/ML Capability Register model cards governance artifacts and lifecycle documentation. Support AI/ML security assessments privacy reviews data classification assessments and authorization activities. Identify risks such as hallucination prompt injection data leakage misuse and drift implement safeguards and monitoring. Support federal AI cybersecurity privacy and governance compliance. Collaboration & Innovation Partner with analysts engineers architects governance cybersecurity and business stakeholders. Translate business problems into AI/ML use cases and technical solutions. Assess data readiness and ensure appropriate data ownership quality and lineage. Develop standards reusable patterns and best practices for AI/ML development. Recommend AI/ML tools cloud services and SDLC automation opportunities. Mentor teams on AI/ML development and Responsible AI practices. Communicate technical findings clearly to both technical and non-technical audiences. QUALIFICATIONS Education BA/BS or equivalent required MA/MS strongly preferred. Experience 15+ years of general experience in information systems with at least 10+ of those years involving specialized experience required. Experience may be considered in lieu of degree as follows HS (19+ years) AA/AS (17+ years) BA/BS (15+ years) MA/MS (13+ years) Doctorate Degree/Ph.D. (12+ years). Expertise in machine learning deep learning and natural language processing (NLP) techniques. Experience in AI/ML engineering machine learning data science or advanced analytics. Strong proficiency with Python SQL ML/DL frameworks (TensorFlow PyTorch scikit-learn XGBoost) and cloud AI services (AWS SageMaker Bedrock Azure ML GCP Vertex AI). Experience implementing MLOps pipelines and integrating ML workflows into CI/CD environments. Knowledge of federal compliance frameworks such as FedRAMP FISMA and NIST AI RMF. Understanding data governance model monitoring and ethical AI practices. Strong analytical advisory and communication skills to bridge strategy engineering and business outcomes. Experience leading federal or judiciary AI/ML modernization programs (Preferred). Familiarity with Generative AI for content generation summarization and development assistance. Experience applying predictive analytics to performance monitoring test optimization and resource planning. Experience with vector databases LLM fine-tuning and Retrieval-Augmented Generation (RAG) pipelines prompt engineering and/or Agentic AI architectures. Experience with MLOps/LLMOps (MLflow SageMaker Vertex AI or Azure ML) model deployment versioning monitoring and lifecycle management. Experience with Generative AI/LLM frameworks (LangChain vector databases OpenAI/Azure). Background in data visualization and explainable AI (XAI) methods (Preferred). COMMUNICATION & ORGANIZATIONAL SKILLS Excellent presentation and communication skills. Consultant mindset with the ability to work with high level customer stakeholders and build excellent customer relationships. Experience identifying and applying industry tools solutions methods best practices and emerging technologies. Strong analytical skills and problem-solving skills with the ability to formulate and communicate recommendations for improvement. Demonstrated ability to work effectively independently and as part of a team. PREFERRED CERTIFICATIONS One or more of the following certifications is preferred but not required. Data Visualization and Data Story Telling certifications Tableau Certified Data Analyst Tableau Desktop Specialist Power BI Data Analyst Story Telling with Data Certified Data Management Professional (CDMP) Snowflake SnowPro Core Databricks Certified Data Professional AWS Certified Data Analytics - Specialty AWS Certified Solutions Architect - Professional AWS Certified Data Engineer AWS Certified Machine Learning - Specialty or Google Professional ML Engineer Certified AI Governance Professional (AIGP) or NIST AI RMF certification SAFe Architect (ARCH) or SAFe DevOps Practitioner (SDP) PMP or ITIL 4 Foundation Security Clearance Level Must be able to pass a background check to obtain a position of Public Trust. Must be a US Person (Green Card Holder US Permanent Resident Alien Refugee Asylee or US Citizen). Location Remote. GDIT IS YOUR PLACE At GDIT the mission is our purpose and our people are at the center of everything we do. Growth AI-powered career tool that identifies career steps and learning opportunities Support An internal mobility team focused on helping you achieve your career goals Rewards Comprehensive benefits and wellness packages 401K with company match and competitive pay and paid time off Community Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. Work Requirements Years of Experience 10 + years of related experience may vary based on technical training certification(s) or degree Certification Travel Required Less than 10% Salary and Benefit Information The likely salary range for this position is $195240 - $264148. This is not however a guarantee of compensation or salary. Rather salary will be set based on experience geographic location and possibly contractual requirements and could fall outside of this range. Our Identity Verification Process As part of the hiring process we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding you authorize the collection processing and use of your biometric data for identity verification and security purposes. About Our Work We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government defense and intelligence community. Our 26000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide offering leading mission-ready capabilities in AI cloud cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Remote United States
Clearance Level None Category Cyber and IT Risk Management Location Remote Working from the USA Key Skills For Success Cloud DevOps DevOps DevSecOps REQRQ227200 Public TrustBI Full 6C (T4) Requisition TypeRegular Your Impact Own your opportunity to support the missions that matter. From working with technologies like AI cyber and cloud to careers in intelligence and health we offer endless opportunities to apply your expertise to create a safer smarter world while building new skills to propel your career forward. Job Description - Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The DevSecOps - CI/CD - IaC Engineer will work as part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance engineering data platform reporting analytics and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program. The successful candidate will be responsible for automating software delivery deployment pipelines infrastructure provisioning configuration security controls and operational processes across CMM cloud data environments. The role integrates security throughout the software and infrastructure lifecycle and serves as a Senior Cloud Security Specialist ensuring cloud platforms and data environments are securely designed deployed monitored and operated. THE DEVSECOPS - CI/CD - IaC ENGINEER WILL EXECUTE THE FOLLOWING RESPONSIBILITIES Deliver DevSecOps platform services that embed security compliance and monitoring across the full cloud and data product lifecycle. Integrate automated security controls vulnerability management policy compliance and continuous monitoring into CI/CD and IaC workflows. Build maintain optimize CI/CD pipelines for automated build test security scanning & deployment. Ensure all code and IaC changes are version‑controlled peer‑reviewed security‑scanned and governed by change‑control gates. Automate cloud infrastructure provisioning and configuration using IaC tools (Terraform CloudFormation ARM/Bicep). Implement SAST/DAST dependency and container scanning within pipelines maintain rollback procedures and deployment monitoring. Define and enforce cloud security architecture IAM policies secrets management encryption and network security controls. Conduct security reviews threat modeling and vulnerability assessments for pipelines and cloud infrastructure. Monitor environments for security events misconfigurations and compliance drift lead remediation. Maintain artifact repositories release automation configuration management and environment provisioning. Develop policy‑as‑code guardrails and automated compliance checks for IaC and CI/CD systems. Integrate and coordinate DevSecOps standards with AO teams to ensure enterprise interoperability. Provide documentation training and end‑user guidance for pipelines tooling and security practices. Review and update DevSecOps toolsets based on emerging threats and technologies produce metrics reports (deployment frequency MTTR remediation times). Support incident response for security issues involving infrastructure pipelines or deployments. Collaborate with development operations governance and security teams for unified visibility and secure delivery processes. QUALIFICATIONS Education Bachelor's degree in Computer Science Software Engineering or related field. Experience 5+ years of experience in IT system engineering systems development systems coding and programming.. Experience leading cloud migrations or major modernization initiatives. Strong knowledge of large‑scale infrastructure migration methods (IaaS/PaaS) and AWS cloud platforms. Deep understanding of cloud security compliance IAM encryption network security and control frameworks. Strong scripting skills (Python Bash Ruby Perl) for automation and tooling. Extensive experience building and supporting automated DevSecOps and CI/CD pipelines (Jenkins GitLab GitHub Actions Azure DevOps). Solid background in Infrastructure as Code using Terraform CloudFormation or ARM/Bicep. Hands‑on experience with cloud APIs cloud automation and multi‑cloud/hybrid operations. Proficient with DevOps toolchains (Git Jira Confluence Ansible SonarQube Fortify Maven Bamboo). Experience developing testing and maintaining containerized applications and Kubernetes-based workloads. Strong experience supporting full DevOps lifecycle (CI testing deployment monitoring). Experience managing AWS private/public cloud deployments and automating cloud infrastructure provisioning. Capability to design secure and operate enterprise-scale CI/CD pipelines for diverse applications. Strong “security‑first” mindset and experience integrating SAST/DAST dependency and container scanning. Skilled in artifact management release engineering and build pipeline optimization. Ability to mentor teams on secure software delivery DevSecOps practices and IaC standards. CERTIFICATIONS (Preferred) One or more of the following certifications is preferred but not required. Certified Data Management Professional (CDMP) Snowflake SnowPro Advanced Databricks Certified Data Professional AWS Certified Data Analytics - Specialty AWS Certified Solutions Architect - Professional AWS Certified Data Engineer Docker Certified Associate Certified Kubernetes Administrator Certified Professional DevSecOps Certification Course ITIL AWS SysOps Google Cloud DevOps Engineer Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Performance & Data Optimization Engineer will work as part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance engineering data platform reporting analytics and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program. The successful candidate will be responsible for monitoring and optimizing the performance of the enterprise cloud data platform focusing on database performance query execution indexing strategies and overall platform efficiency. This role identifies bottlenecks tunes queries and platform configurations and partners with data engineering and platform teams to ensure the CMM Data Modernization & Governance platform runs efficiently reliably and cost-effectively at scale. THE PERFORMANCE & DATA OPTIMIZATION ENGINEER WILL EXECUTE THE FOLLOWING RESPONSIBILITIES Optimize databases and platform performance across cloud data warehouses/lakes including query execution indexing partitioning and caching. Monitor system health manage incidents events and operational reporting. Diagnose and resolve performance bottlenecks in queries pipelines and resource utilization (CPU memory storage network I/O concurrency). Analyze and tune SQL ETL/ELT data models ingestion patterns and workload performance for efficiency and cost. Establish and maintain SLAs baselines dashboards and automated monitoring/alerting. Plan capacity perform workload analysis and guide scaling and cost-optimization decisions. Collaborate with platform engineers DBAs architects and application teams to optimize compute/storage configurations and resolve issues. Maintain access controls user roles and identity integrations including SSO MFA and JENIE-based least privilege enforcement. Provide disaster recovery and continuity options including high availability fault tolerance and automated failover. Integrate DevSecOps tools and processes with enterprise systems to ensure unified security posture. Manage centralized secrets with automated rotation access logging and policy enforcement. Embed SAST DAST SCA and CSPM tools into CI/CD for continuous assessment and remediation. Implement automated continuous 24/7 monitoring for security performance and compliance with real-time dashboards. Ensure automated SBOM generation and management for all deployed artifacts. Provide diagnostics metrics gathering and performance tuning support canary releases for testing. Collaborate with data governance and data quality teams to ensure performance optimization efforts align with data standards and controls. Collaborate with Data Platform Engineers Database Administrators Data Architects and Data Engineers to resolve performance issues. Perform automated full-stack health checks at agreed intervals. Deliver monthly reports covering incidents stability performance configurations ticket volume and resolution times. Support high availability disaster recovery and business continuity requirements. Contribute to platform performance standards engineering guidelines and optimization best practices. QUALIFICATIONS Education Bachelor’s degree in Computer Science Software Engineering or related field. Experience 5+ years’ experience in IT systems engineering systems development systems coding and programming. Deep expertise in AWS services across compute storage networking monitoring and logging. Proficient with Infrastructure as Code (IaC) tools (Terraform CloudFormation Azure Bicep). Experienced with monitoring/APM platforms (CloudWatch Azure Monitor Datadog Prometheus Grafana New Relic). Strong background in incident response change management and ITIL operations. Skilled with CI/CD toolchains (Jenkins GitHub Actions GitLab ArgoCD) and automation. Strong scripting abilities (Python PowerShell Bash). Advanced DevSecOps and GitOps implementation experience. Hands-on experience building testing and maintaining containerized applications. Expert in version control build/release engineering and enterprise-scale CI/CD pipelines. Flexible collaborator across multiple teams and products. Experience with FinOps cost modeling forecasting and cloud cost optimization. Knowledge of federal compliance frameworks (FedRAMP NIST JISF Rev 5). Skilled in log/metric analysis and cloud performance tuning. Experienced working across product teams to assess system health. Strong SQL and database performance-tuning skills. Experience in query optimization indexing partitioning clustering and execution-plan analysis. Familiar with cloud data platforms and distributed data-processing environments. Strong performance-monitoring and troubleshooting capabilities. Excellent analytical and problem‑solving skills. Preferred experience with Snowflake Databricks Amazon Redshift PostgreSQL SQL Server Oracle or equivalent platforms. Preferred experience with optimizing large-scale analytical workloads. CERTIFICATIONS One or more of the following certifications is preferred but not required. Certified Data Management Professional (CDMP) Snowflake SnowPro Advanced Databricks Certified Data Professional AWS Certified Data Analytics – Specialty AWS Certified Solutions Architect – Professional AWS Certified Data Engineer Docker Certified Associate. Certified Kubernetes Administrator Certified Professional DevSecOps Certification Course ITIL AWS SysOps Google Cloud DevOps Engineer. Security Clearance Level Must be able to pass a background check to obtain a position of Public Trust. Must be a US Person (Green Card Holder US Permanent Resident Alien Refugee Asylee or US Citizen). Location Remote. GDIT IS YOUR PLACE At GDIT the mission is our purpose and our people are at the center of everything we do. Growth AI-powered career tool that identifies career steps and learning opportunities Support An internal mobility team focused on helping you achieve your career goals Rewards Comprehensive benefits and wellness packages 401K with company match and competitive pay and paid time off Flexibility Full-flex work week to own your priorities at work and at home Community Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in program management at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results. GDITLA Work Requirements Years of Experience 5 + years of related experience may vary based on technical training certification(s) or degree Certification Travel Required Less than 10% Salary and Benefit Information The likely salary range for this position is $121125 - $163875. This is not however a guarantee of compensation or salary. Rather salary will be set based on experience geographic location and possibly contractual requirements and could fall outside of this range. Our Identity Verification Process As part of the hiring process we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding you authorize the collection processing and use of your biometric data for identity verification and security purposes. About Our Work We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government defense and intelligence community. Our 26000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide offering leading mission-ready capabilities in AI cloud cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Remote United States
Clearance Level None Category IT Infrastructure and Operations Location Remote Working from the USA Key Skills For Success Database Environments Database Operations Data Engineering REQRQ227202 Public TrustBI Full 6C (T4) Requisition TypeRegular Your Impact Own your opportunity to support the missions that matter. From working with technologies like AI cyber and cloud to careers in intelligence and health we offer endless opportunities to apply your expertise to create a safer smarter world while building new skills to propel your career forward. Job Description - Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Database Administrator will work as part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance engineering data platform reporting analytics and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program. The successful candidate will be responsible for designing building configuring and maintaining the organization's cloud data platform environments (e.g. Snowflake Databricks Redshift AuroraDB RDS DynamoDB and/or NeptuneDB) enabling scalable data engineering analytics and governance capabilities in support of the CMM Data Modernization & Governance program. THE DATABASE ADMINISTRATOR WILL EXECUTE THE FOLLOWING RESPONSIBILITIES Administer and optimize cloud database environments including configuration scaling performance tuning and warehouse management. Create maintain and govern databases schemas roles and RBAC in alignment with AO security IAM and compliance policies. Monitor & troubleshoot database performance query efficiency concurrency capacity & utilization. Implement cost‑optimization strategies and support TCO analysis financial reporting and right‑sizing. Automate database provisioning user/role management backups and monitoring using SQL Python Terraform or similar tooling. Install configure upgrade patch and maintain SQL NoSQL and graph database platforms. Manage database objects (tables indexes partitions views sp) and ensure optimal performance. Implement and manage backup recovery replication high availability and disaster recovery solutions. Support database migrations upgrades consolidations and modernization initiatives. Enforce least‑privilege access database security controls encryption authentication authorization and auditing. Support data retention archival classification and lifecycle policies. Develop & maintain database monitoring dashboards alerting logging and health‑check capabilities. Troubleshoot complex database incidents failures degradation and availability issues drive root‑cause analysis. Support DR/HA exercises ATO documentation security audits and incident response for DB services. Integrate databases with data pipelines applications analytics tools and cloud data platforms. Maintain database architecture diagrams runbooks performance reports and configuration documentation. Collaborate with Data Platform Engineers Data Engineers Architects Security teams and app teams. Evaluate new database features cloud capabilities and platform enhancements recommend adoption. Ensure DB environments comply with all security privacy governance & regulatory requirements. Preferred Experience Amazon RDS Aurora DynamoDB Neptune PostgreSQL SQL Server Oracle MongoDB Neo4j AWS GovCloud automation experience using Python PowerShell Terraform. QUALIFICATIONS Education Technical Training Certification(s) or Degree required BA/BS or MA/MS strongly preferred. Experience 5+ years of general experience in IT systems required 7+ years of experience with BA/BS or 5+ years of experience with MA/MS strongly preferred 5+ years of specialized experience in cloud database maintenance and database administration or similar role. Strong experience administering cloud database platforms including Snowflake and AWS data services (Redshift Aurora/PostgreSQL RDS Neptune). Expertise in SQL performance tuning workload management and database optimization. Experience operating databases in AWS or hybrid cloud environments. Proven ability to automate database administration using IaC and scripting (Terraform dbt Python). Familiarity with federal security compliance and audit requirements. Strong analytical troubleshooting and problem‑solving skills. Ability to work independently and collaboratively with technical and business teams. Effective communication and documentation skills. Knowledge of modern monitoring/observability tools and CI/CD workflows. Experience applying industry best practices and emerging data platform technologies. Consultant mindset and ability to work with stakeholders to define and improve database operations. PREFERRED CERTIFICATIONS One or more of the following certifications is preferred but not required. Certified Data Management Professional (CDMP) Snowflake SnowPro Core Snowflake SnowPro Advanced Databricks Certified Data Professional AWS Certified Data Analytics - Specialty AWS Certified Solutions Architect - Professional AWS Certified Data Engineer Docker Certified Associate Certified Kubernetes Administrator Certified Professional DevSecOps Certification Course ITIL AWS SysOps Google Cloud DevOps Engineer Security Clearance Level Must be able to pass a background check to obtain a position of Public Trust. Must be a US Person (Green Card Holder US Permanent Resident Alien Refugee Asylee or US Citizen). Location Remote. GDIT IS YOUR PLACE At GDIT the mission is our purpose and our people are at the center of everything we do. Growth AI-powered career tool that identifies career steps and learning opportunities Support An internal mobility team focused on helping you achieve your career goals Rewards Comprehensive benefits and wellness packages 401K with company match and competitive pay and paid time off Flexibility Full-flex work week to own your priorities at work and at home Community Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in program management at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results. GDITLA Work Requirements Years of Experience 7 + years of related experience may vary based on technical training certification(s) or degree Certification Travel Required Less than 10% Salary and Benefit Information The likely salary range for this position is $138063 - $186791. This is not however a guarantee of compensation or salary. Rather salary will be set based on experience geographic location and possibly contractual requirements and could fall outside of this range. Our Identity Verification Process As part of the hiring process we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding you authorize the collection processing and use of your biometric data for identity verification and security purposes. About Our Work We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government defense and intelligence community. Our 26000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide offering leading mission-ready capabilities in AI cloud cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
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