Databricks Platform Administrator

At Forvis Mazars, technology is a catalyst for growth, innovation, and transformation. Firm Technology Services (FTS) sits at the intersection of business strategy and digital enablement, partnering across the firm to harness emerging technologies, advance AI-driven solutions, modernize the portfolio, and create new capabilities that accelerate operational success. Our culture is collaborative, engineering-minded, and future-focused, empowering talented professionals to solve complex challenges, challenge conventional thinking, and build solutions that make a measurable impact. This role is more than an opportunity to support a function. It is a chance to help shape the future of the firm, directly contributing to strategic growth initiatives, exceptional client experiences, and the continued evolution of a world-class technology organization. Our ability to scale analytics and artificial intelligence depends on a data platform that is secure, reliable, well-governed, and built for growth. The Enterprise Data & Analytics organization is modernizing the firm’s data foundation and developing the technology and capabilities needed to transform trusted enterprise data into meaningful insights and new AI-driven opportunities. We are seeking a Databricks Platform Administrator to operate, secure, and continuously improve the Databricks Intelligence Platform at the center of the firm’s data strategy. This position is responsible for the health and administration of the platform, with a strong focus on security, access management, monitoring, governance, performance, cost optimization, and operational reliability. Working closely with data engineers, enterprise architects, security teams, cloud teams, and other technology partners, the Databricks Platform Administrator will help establish and automate platform standards, controls, and operational practices. These efforts will enable teams to deliver data, analytics, and AI solutions securely and efficiently at enterprise scale. **What You Will Do:** * Administer and support the enterprise Databricks platform, including workspaces, compute resources, configurations, and platform services * Manage platform security, identity, access controls, and least-privilege standards * Administer Unity Catalog and implement secure, governed access to enterprise data * Maintain platform monitoring, reliability, performance, availability, and operational support * Establish and maintain standards for compute resources, cluster policies, runtimes, libraries, and platform configurations * Monitor and optimize platform utilization, performance, and cost * Automate platform configurations and deployments using Terraform, Git, APIs, and CI/CD practices * Implement and support data governance, auditing, monitoring, lineage, and compliance controls * Support cloud security practices, including networking, encryption, secrets management, and private connectivity * Partner with Enterprise Architecture, Security, Cloud, Data Engineering, and AI teams to maintain enterprise platform standards * Document platform configurations, operational procedures, technical standards, and troubleshooting processes * Support the security and governance requirements associated with AI, machine learning, and other AI-driven workload **Minimum Qualifications:** * Five or more years of relevant technology experience * Experience administering and supporting the Databricks platform * Knowledge of Databricks security, Unity Catalog, role-based access control, attribute-based access control, identity management, and least-privilege access * Experience with data governance, auditing, monitoring, lineage, and compliance controls * Knowledge of cloud security, networking, encryption, secrets management, and private connectivity * Experience working in a major cloud environment, such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform * Experience with Terraform, GitLab, Jira, Azure DevOps, CI/CD pipelines, APIs, and platform automation * Knowledge of Databricks compute resources, SQL warehouses, jobs, storage, performance optimization, and cost management * Working knowledge of Databricks AI capabilities and the security and governance considerations associated with AI and machine-learning workloads * Strong troubleshooting, documentation, communication, and collaboration skills * Ability to work effectively across Data Engineering, AI, Enterprise Architecture, Cloud, Security, and other technology teams **Preferred Qualifications:** * Bachelor’s degree in information technology, computer science, engineering, data systems, or a related field * Databricks professional certification * Databricks platform administration experience in an enterprise environment * Experience administering Databricks within Microsoft Azure * Experience implementing Unity Catalog across multiple workspaces or business teams * Experience automating Databricks platform deployments and configurations through infrastructure as code * Experience supporting governed data, analytics, AI, or machine-learning platforms at enterprise scale