Databricks Tech Lead

About the role

Design, build, and maintain Databricks workspaces, clusters, and compute pools across dev/test/prod environments. Configure and manage Databricks Unity Catalog for data governance, access control, fine-grained permissions, and data lineage. Optimize cluster configurations — instance types, auto-scaling policies, spot/preemptible nodes — for cost and performance.

What you'll do

• Design, build, and maintain Databricks workspaces, clusters, and compute pools across dev/test/prod environments
• Configure and manage Databricks Unity Catalog for data governance, access control, fine-grained permissions, and data lineage
• Optimize cluster configurations — instance types, auto-scaling policies, spot/preemptible nodes — for cost and performance
• Implement workspace-level best practices: folder structures, access controls, secret management (Databricks Secrets / Azure Key Vault / AWS Secrets Manager)
• Manage Databricks jobs, workflows, and multi-task job orchestration with dependency management. Delta Lake & Lakehouse Architecture

What you need

• 20–30 yrs of experience
• Databricks
• Machine learning
• ETL
• MLOps
• LLMs
• Spark
• Any graduate

Good to have

• AWS
• Kafka
• dbt
• CI/CD
• Azure
• Terraform