Role: Senior Databricks Platform Administrator
About the Role
Key Responsibilities
- Administer Databricks accounts, workspaces, users, groups, service principals, compute policies, SQL warehouses, and serverless environments.
- Manage Unity Catalog, permissions, storage credentials, external locations, foreign catalogs, and data security policies.
- Troubleshoot platform incidents, authentication, connectivity, performance, and library compatibility issues.
- Plan runtime upgrades and support Snowflake-to-Databricks and UC-managed Iceberg migrations.
- Coordinate secure integrations with AWS S3, databases, APIs, and external partner systems.
- Administer AI capabilities, including model endpoints, AI Gateway, Genie, agents, and Apps, with appropriate access and consumption controls.
- Automate administrative processes using Python, SQL, APIs, SDKs, CLI, and Terraform.
- Support GitHub and Jenkins deployment pipelines, usage reporting, and cost optimization.
Required Qualifications
- 5+ years in data engineering, cloud operations, or platform administration, including 3+ years of hands-on Databricks experience.
- Strong knowledge of Unity Catalog, access management, Databricks compute, and production operations.
- Proficiency in Python and SQL, with experience automating through APIs or SDKs.
- Hands-on AWS experience with IAM, S3, and networking.
- Understanding of Delta Lake, Apache Iceberg, Git, and CI/CD practices.
- Strong troubleshooting, communication, and cross-team collaboration skills.
Preferred Qualifications
- Experience with Snowflake, Terraform, Jenkins, GitHub, or Dagster.
- Familiarity with SSO, OAuth, AI platform administration, and MCP integrations.
- Relevant Databricks or cloud certifications.
We are looking for a hands-on Databricks Platform Administrator to manage enterprise workspaces supporting data engineering, analytics, and AI workloads. The role focuses on platform operations, security, governance, automation, performance, and cost management.