Senior Databricks Engineer (Platform & Data Engineering)
Core
Architect and maintain the Databricks data platform, building optimized data pipelines and automation tooling to support enterprise data integrity and governance.
Role type
Senior Databricks Platform Engineer (Data Engineering)
Builds
Production data pipelines, automation tooling, and secure data platform infrastructure
Domain
Healthcare data engineering and cloud platform management
Deliverable
production ML models | product features | infrastructure
Required skills
Databricks administration, PySpark, T-SQL, Python, Bash, PowerShell, data governance, security automation
Preferred skills
Terraform, CI/CD pipelines, AWS data ingestion tools, MS SQL Server administration, multi-cloud architecture
Technologies
Databricks, PySpark, T-SQL, Python, Bash, PowerShell, Azure DevOps, GitHub, Terraform, AWS Glue, AWS Lambda, MS SQL Server
Responsibilities
Manage Databricks workspaces, clusters, jobs, and security configurations; build and optimize data pipelines; create automation scripts; implement data governance and access controls; oversee testing and system upgrades; mentor team members and drive solution architecture.
Seniority
Senior, hands-on IC with leadership responsibilities
