About the position
Databricks Workspace Administrator
- We are seeking a hands-on Databricks Workspace Administrator to own and operate our Databricks platform on scale.
- 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.
- Secondary work if the above dries up would be high level admin tasks to fine-detailed monitoring and alerting dashboards/pipelines that can benefit all tenants in the workspace. As an example, they could set up alerting on App usage metrics, LLM rate limits/token usage, dashboards on inference tables for teams to use for anomaly/drift detection and so on.
Job Description / Responsibilities:
- Databricks Workspace & Platform Administration: act as Workspace Admin; manage access controls, cluster policies, and job permissions; enforce standards for environment separation, guardrails, and cost/usage controls.
- SQL experience and dashboard development/maintenance
- Catalog & Governance Management: design, create, and manage Unity Catalog structures (catalogs, schemas, tables/views); implement and maintain permission models aligned to governance standards.
- Identity & Service Principal Management: create and manage service principals, groups, and permission assignments; support non-human identities for CI/CD, automation, and integrations; partner with identity/security teams to ensure least-privilege access and auditability.
- Tenant Enablement & Engagement: onboard and support tenant teams; run enablement sessions to understand use cases and recommend workspace/catalog/access patterns; provide guidance on best practices for analytics, ML, and GenAI workloads.
- Platform Support & Continuous Improvement: troubleshoot platform configuration and access issues; maintain runbooks and documentation; identify recurring issues and drive automation and standardization.
- Development and maintenance of platform monitoring and alerting
Desired Skills:
- Platform Administration
- SQL
- GenAI
- Data Engineering and analytics
- AI/ML teams
- Hive/Glue
- JDBC data pipeline setup
- Databricks ecosystem
- cloud platform concepts
- Integrating Databricks with CI/CD and automation patterns
- supporting ML / Generative AI workloads
- RAG-style data
Desired Work Experience:
- 5 to 10 years Banking
- 5 to 10 years Admin Clerk
Desired Qualification Level:
About The Employer:
Banking sector role
