About the position
Databricks Workspace Administrator
This role is responsible for workspace governance, catalog and identity management, and direct engagement with tenant teams to enable analytics, AI, and Generative AI workloads safely and efficiently. This role is not a pure infrastructure or ticket-based admin role. It sits at the intersection of platform engineering, governance, and tenant enablement enabling Databricks workspaces are secure, well-structured, and easy for teams to onboard and scale.
Must-have Skills (Mandatory Skills):
- Hands-on experience as a Databricks Workspace Admin.
- 2+ years’ Experience managing users, groups, and service principles, including least privilege access models.
- 2+ years Solid understanding of how data engineering, analytics, and AI/ML teams consume platform services.
- 4+ years’ Experience operating in an enterprise and/or regulated environment with strong governance requirements.
- 4+ years Strong communication skills and comfort engaging directly with multiple tenant teams.
- 4+ years Hive/Glue and JDBC data pipeline setup/maintenance within the Databricks ecosystem
- Experience supporting ML / Generative AI workloads on Databricks (e.g., RAG-style data patterns, model serving, evaluation workflows).
Desired Skills:
- Databricks Workspace Administrator
- Databricks Workspace Administrator
- Databricks Workspace Administrator
