Databricks Administrator / Platform Engineer

Clearance Level None Category Data Science and Data Engineering Location Remote, Working from the USA Key Skills For Success Databricks Platform Databricks Unity Catalog Data Engineering Data Governance Structured Query Language (SQL) Development REQ#: RQ220097 Public Trust: NACI (T1) Requisition Type: Regular Your Impact Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens. Job Description GDIT is seeking an experienced Databricks Administrator / Platform Engineer to lead administration, governance, and operational management of an enterprise Databricks environment. This role is responsible for core platform administration across workspaces, Unity Catalog, access controls, storage integrations, compute governance, and secure platform operations. The position also serves as a technical advisor to governance, FinOps, and engineering stakeholders by shaping platform design decisions, operational policies, and best practices for scalable and well-governed data product development. This role is ideal for someone who combines strong hands-on Databricks administration experience with practical data engineering skills and the ability to influence platform standards. The successful candidate will not only keep the platform running, but also help improve how the platform is structured, governed, and used across teams. This role is fully remote! Key Responsibilities Administer and maintain Databricks workspaces, catalogs, schemas, storage integrations, permissions, and platform configurations. Manage Unity Catalog structures, including catalogs, schemas, external locations, storage credentials, grants, metadata standards, and governance controls. Support user provisioning, group membership, RBAC/ABAC models, service principals, secrets management, and secure access patterns across the platform. Define and enforce operational standards for cluster policies, compute governance, runtime management, workspace security, and scalable platform usage. Troubleshoot platform issues related to permissions, connectivity, compute usage, storage access, workspace administration, and job execution. Contribute data engineering expertise to platform best practices, including ingestion, transformation, orchestration, data quality, and performance optimization patterns. Advise governance teams on standards for curated data products, metadata, tagging, lineage, and data quality expectations. Partner with security, cloud, and engineering teams to improve monitoring, auditability, policy enforcement, and administrative guardrails. Support cost optimization efforts by recommending best practices for workload management, cluster sizing, autoscaling, scheduling, and efficient resource usage. Participate in platform design discussions, architecture reviews, and operational planning to improve scalability, maintainability, and governance maturity. Create and maintain documentation, standards, runbooks, and repeatable operating procedures for platform administration and governed delivery. As needed, provide platform-level guidance for adjacent analytics and AI capabilities in alignment with governance and operational standards. Required Qualifications Technical training/certification(s) and 5+ years of Databricks administration, platform engineering, or data engineering operations. 3+ years of hands-on experience administering Databricks in an enterprise environment. Strong experience with Unity Catalog, workspace administration, permissions management, user/group access controls, and storage integrations. Practical data engineering experience using SQL, Python, PySpark, or Spark in support of pipeline troubleshooting, platform standards, and engineering collaboration. Strong understanding of Databricks security best practices, including RBAC, ABAC, least privilege, cluster policies, secrets management, and secure workspace configuration. Experience supporting governance initiatives such as metadata management, tagging, lineage, access policies, or data quality standards. Familiarity with AWS, Azure, or multi-cloud Databricks environments. Experience balancing hands-on administrative responsibilities with strategic advisory work on platform design, policies, and best practices. Must be able to obtain and maintain a Public Trust. Preferred Qualifications Databricks certifications strongly preferred. Experience advising on or implementing governance standards for curated or gold data products. Strong written and verbal communication skills, including documentation and cross-functional stakeholder engagement. Familiarity with FinOps practices, platform cost monitoring, and workload optimization in Databricks. Experience with Databricks administrative capabilities such as audit logs, cluster policies, account console administration, workspace automation, and policy-driven governance. Experience with Terraform, Databricks CLI, CI/CD pipelines, or infrastructure automation. Exposure to Databricks analytics, reporting, model serving, or AI/ML platform capabilities. Familiarity with enterprise metadata, lineage, and tagging strategies in regulated environments. Databricks certification such as Data Engineer Associate/Professional or equivalent Databricks administration accreditation. #GDITFedHealthJobs Work Requirements Years of Experience 5 + years of related experience may vary based on technical training, certification(s), or degree Certification Databricks Certified Data Engineer Professional | Databricks - Databricks Databricks Certified Data Engineer Associate | Databricks - Databricks Travel Required None Salary and Benefit Information The likely salary range for this position is $113,900 - $154,100. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Our Identity Verification Process As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes. About Our Work We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans