Job Description
• Own Databricks workspace provisioning & setup
o Define how workspaces are created, configured, and standardized across environments
• Perform platform configuration and environment management
o Cluster policies, compute setup, networking integrations
• Lead data source onboarding & discovery
o Evaluate new sources and define ingestion patterns
• Configure and integrate Databricks with Azure services:
o ADLS, CosmosDB, PostgreSQL, etc.
• Implement and maintain security, RBAC, and governance policies
• Automate infrastructure using Terraform + CI/CD pipelines
• Leverage AI coding tools / copilots to accelerate scripting, automation, and platform workflows
• Monitor platform performance and optimize for cost, scale, and reliability
• Support data engineering teams by enabling pipelines (platform enablement vs heavy coding)
• Translate business and technical requirements into scalable platform solutions
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Strong hands-on experience administering Azure Databricks in enterprise environments
Proven experience with workspace provisioning and configuration (not just support)
Deep knowledge of Azure services:
Experience managing:
• Databricks workspaces, clusters, SQL Warehouses
• Compute optimization and cost management
Strong experience with Terraform (IaC):
• Provisioning Databricks workspaces and Azure infrastructure
• Automating environment setup and configuration
Experience implementing:
• RBAC / access controls
• Governance frameworks (Unity Catalog preferred)
Experience onboarding new data sources and enabling ingestion
Ability to work cross-functionally with data engineering and app teams
Nice to Have Skills & Experience
• Experience using AI coding tools / agents:
o Claude, GitHub Copilot, ChatGPT (code generation, automation workflows, etc.)
• Databricks Certifications (Platform Admin preferred)
• Experience with:
o MLflow, Delta Live Tables, Databricks Workflows
o Azure Monitor, Log Analytics
• Exposure to AI-enabled platform automation or developer productivity tooling
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.