> Markdown version of [/jobs/ext/3619705-databricks-administrator](https://www.wearedevelopers.com/jobs/ext/3619705-databricks-administrator). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Administrator - **Company:** Insight Global - **Location:** Charlotte, NC, United States - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Code Generation, System Configuration, Information Engineering, PostgreSQL, Machine Learning, Role-Based Access Control, SQL Databases, GitHub Copilot, AI Coding Agents, Infrastructure Automation Frameworks, Machine Learning Operations, Claude, Terraform, GPT, Databricks - **Published:** October 8, 2026 - **Apply:** https://dejobs.org/x/x/BC5EADC6A7724AAEA6EAA4C4DECF5C12/job/ ## About the Role 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 * 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 Experience setting up Machine Learning Engineer users into Databricks workspaces ## 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