Databricks Workspace Administrator

DVT is looking for a hands-on Databricks Workspace Administrator to take ownership of our Databricks platform operations at scale. This role sits at the intersection of platform engineering, governance, and tenant enablement — ensuring that Databricks workspaces are secure, scalable, well-governed, and easy for teams to onboard and operate within.

This is not a purely infrastructure or ticket-driven administration role. We are looking for someone who can engage directly with tenant teams, support analytics, AI and Generative AI workloads, and continuously improve platform standards, monitoring, and automation capabilities.

You will play a key role in enabling teams to safely and efficiently leverage the Databricks ecosystem while maintaining strong governance and operational excellence.

• Act as Workspace Administrator across Databricks environments

• Manage access controls, cluster policies, and job permissions

• Enforce governance standards, environment separation, and usage guardrails

• Implement cost and usage controls across tenant workspaces

• Develop, maintain, and optimise SQL-based monitoring and operational dashboards

• Support reporting and visibility into platform health, usage, and operational metrics

• Design and manage Unity Catalog structures including catalogs, schemas, tables, and views

• Implement and maintain governance-aligned permission models

• Ensure secure and compliant access patterns across tenants

• Create and manage service principals, groups, and permission assignments

• Support non-human identities for CI/CD pipelines, automation, and integrations

• Partner with security and identity teams to maintain least-privilege access and auditability

• Onboard and support tenant teams using the platform

• Conduct enablement sessions to understand use cases and recommend best-practice workspace and access patterns

• Provide guidance for analytics, machine learning, and Generative AI workloads

• Troubleshoot workspace configuration and access issues

• Develop and maintain operational runbooks and onboarding documentation

• Identify opportunities for automation, standardisation, and platform optimisation

• Build and maintain monitoring and alerting pipelines/dashboards for platform-wide visibility

Examples may include:

• Application usage monitoring

• LLM token and rate-limit monitoring

• Inference table dashboards

• Anomaly and drift detection monitoring

• 2+ years’ hands-on experience as a Databricks Workspace Administrator

• 2+ years’ experience managing users, groups, service principals, and least-privilege access models

• 4+ years’ experience working with data engineering, analytics, AI/ML, or platform teams

• Experience operating in enterprise and/or regulated environments with strong governance requirements

• Strong SQL skills with dashboard development and maintenance experience

• Experience with Hive/Glue and JDBC pipeline setup and maintenance within Databricks ecosystems

• Excellent communication skills with the ability to engage directly with multiple tenant teams

• Experience supporting ML and Generative AI workloads on Databricks

• Exposure to RAG-style architectures, model serving, and evaluation workflows

• Experience integrating Databricks with CI/CD and automation pipelines

• Familiarity with AWS and/or Azure cloud concepts relevant to Databricks operations

• Experience contributing to platform standards, templates, and self-service onboarding capabilities

We’re looking for someone who is:

• Hands-on and delivery focused

• Comfortable balancing governance with tenant productivity

• Proactive in documentation and knowledge sharing

• Passionate about platform enablement and continuous improvement

• Collaborative and confident working across technical and business teams