Lead Data Engineer & Architect (Snowflake & GCP)

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