AWS Databricks Platform Manager / Engineer

Greetings from Doodleblue Innovations!! We’re Hiring for an AWS Databricks Platform Manager / Engineer

Location

Remote Experience 5-10 years (3–5+ years in Databricks Platform Administration) Notice period Immediate We're looking for an experienced Databricks Platform Manager / Engineer to join our team and take ownership of enterprise-scale Databricks Platform Administration on AWS.

Key Responsibilities

Manage Databricks workspaces across Dev Test UAT & Production Administer Unity Catalog RBAC Secret Scopes & Service Principals Configure cluster policies instance pools & job clusters Integrate Databricks with AWS IAM & enterprise SSO Support CI/CD using Git Terraform Azure DevOps/GitHub Actions/Jenkins Monitor platform health optimize performance & cloud costs Implement governance audit logging & security best practices Handle production support runtime upgrades & platform automation Required

Skills

Databricks Workspace Administration Unity Catalog Cluster Policies & Instance Pools Databricks Runtime Management Databricks Repos & Workflows AWS (IAM S3 CloudWatch KMS VPC) Terraform (IaC) Git & CI/CD Platform Monitoring & Incident Management Cost Optimization & Governance

Nice to have

Terraform for Databricks provisioning Delta Lake & Lakehouse Architecture Cloud FinOps AWS Organizations & Control Tower PrivateLink / VPC Endpoints Datadog / Splunk / CloudWatch Apache Spark Internals AI/ML workloads on Databricks Interested candidates can share their resumes to supriyar@doodleblue.com Job Types Full-time Permanent Pay Up to ₹1500000.00 per year Application Question(s) How many years of experience as a Platform Manager/ Engineer? How many years of experience in AWS Databricks? Experience Databricks Platform Administration 3 years (Required) Databricks Platform Manager / Engineer 5 years (Required) AWS Databricks 5 years (Required)

Work Location

Remote