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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Administrator - **Company:** Changeis, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Audit Trail, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Storage, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, DevOps, Disaster Recovery, Distributed Data Store, Github, Identity and Access Management, Python (Programming Language), Meta-Data Management, Microsoft SQL Server, Windows PowerShell, Power BI, Cloud Services, Standard Sql, SQL Databases, Systems Integration, Tableau (Software), Enterprise Data Management, Data Logging, Scripting, Google Cloud, Enterprise Software Applications, Connectivity Problems, Snowflake, Apache Spark, Git, Cloudformation, Data Lakes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Bicep, Machine Learning Operations, Terraform, Azure Resource Manager, Jenkins, Databricks, User Accounts - **Published:** August 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c6794a3834a8cb4a ## About the Role * At least six years of experience in cloud infrastructure, data platform administration, database administration, DevOps, data engineering, or a related technical field. * Hands-on experience administering Databricks in an enterprise environment. * Experience with Microsoft Azure Databricks, AWS Databricks, or Databricks on Google Cloud. * Strong understanding of Databricks workspaces, clusters, jobs, notebooks, SQL warehouses, instance pools, and compute policies. * Experience with Unity Catalog, access controls, identity management, service principals, secrets, and data governance. * Experience monitoring and troubleshooting Databricks jobs, clusters, integrations, and platform performance. * Working knowledge of Apache Spark and distributed data-processing concepts. * Experience with cloud storage, networking, security, and identity-management services. * Knowledge of SQL and at least one scripting language, such as Python, PowerShell, Bash, or Scala. * Experience with Git, CI/CD pipelines, and automated deployment processes. * Experience with Infrastructure as Code tools such as Terraform, ARM templates, Bicep, or CloudFormation. * Strong troubleshooting, documentation, communication, and stakeholder-management skills. * Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field., * Databricks Certified Data Engineer, Databricks Certified Associate Developer for Apache Spark, or another relevant Databricks certification. * Cloud certification from Microsoft Azure, Amazon Web Services, or Google Cloud. * Experience supporting Delta Lake, Delta Live Tables, MLflow, Lakehouse architecture, and Databricks SQL. * Experience with Azure DevOps, GitHub Actions, Jenkins, or similar CI/CD platforms. * Experience integrating Databricks with Power BI, Tableau, Snowflake, SQL Server, or other enterprise data platforms. * Experience supporting regulated, federal, healthcare, financial services, or other highly controlled environments. * Familiarity with data cataloging, lineage, audit logging, disaster recovery, and business-continuity planning. ## Description We are seeking an experienced Databricks Administrator to manage, maintain, secure, and optimize our enterprise Databricks environment. The ideal candidate will have at least six years of experience in cloud data platforms, data engineering infrastructure, or platform administration, including strong hands-on experience supporting Databricks. The Databricks Administrator will work closely with data engineers, data scientists, developers, security teams, and cloud infrastructure teams to ensure the platform is secure, reliable, scalable, and cost-effective., * Administer and support Databricks workspaces, clusters, jobs, notebooks, pools, SQL warehouses, and related platform services. * Configure and manage user accounts, groups, roles, permissions, service principals, and access controls. * Implement and maintain security standards using Unity Catalog, role-based access controls, credential management, and data-governance policies. * Monitor platform availability, cluster performance, job execution, resource utilization, and system health. * Troubleshoot failed jobs, cluster issues, connectivity problems, performance bottlenecks, and access-related incidents. * Configure and optimize clusters, instance pools, autoscaling, and compute policies to improve performance and control costs. * Support Databricks integrations with cloud storage, databases, business intelligence platforms, APIs, and enterprise applications. * Manage platform configurations across development, testing, staging, and production environments. * Support automated deployment and infrastructure-management processes using CI/CD and Infrastructure as Code. * Develop monitoring dashboards, alerts, audit reports, and operational documentation. * Conduct platform upgrades, configuration changes, testing, and release activities. * Partner with cybersecurity and governance teams to support auditing, compliance, logging, and data-protection requirements. * Establish platform standards, administrative procedures, naming conventions, and operational best practices. * Provide technical support and guidance to data engineers, analysts, data scientists, and application teams. * Evaluate platform usage and recommend improvements related to scalability, reliability, performance, and cost optimization. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)