{"schemaVersion":"jobsearcher.job.v1","id":"5177885a812eabdae97be25e","url":"https://jobsearcher.com/jobs/5177885a812eabdae97be25e","canonicalUrl":"https://jobsearcher.com/jobs/5177885a812eabdae97be25e","title":"Databricks Administrator / Platform Engineer","description":"Clearance Level\nNone\nCategory\nData Science and Data Engineering\nLocation\nRemote, Working from the USA\nKey Skills For Success\nDatabricks Platform\nDatabricks Unity Catalog\nData Engineering\nData Governance\nStructured Query Language (SQL) Development\nREQ#: RQ220097\nPublic Trust: NACI (T1)\nRequisition Type: Regular\nYour Impact\nOwn 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.\nJob Description\nGDIT 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.\nThis 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.\nThis role is fully remote!\nKey Responsibilities\nAdminister and maintain Databricks workspaces, catalogs, schemas, storage integrations, permissions, and platform configurations.\nManage Unity Catalog structures, including catalogs, schemas, external locations, storage credentials, grants, metadata standards, and governance controls.\nSupport user provisioning, group membership, RBAC/ABAC models, service principals, secrets management, and secure access patterns across the platform.\nDefine and enforce operational standards for cluster policies, compute governance, runtime management, workspace security, and scalable platform usage.\nTroubleshoot platform issues related to permissions, connectivity, compute usage, storage access, workspace administration, and job execution.\nContribute data engineering expertise to platform best practices, including ingestion, transformation, orchestration, data quality, and performance optimization patterns.\nAdvise governance teams on standards for curated data products, metadata, tagging, lineage, and data quality expectations.\nPartner with security, cloud, and engineering teams to improve monitoring, auditability, policy enforcement, and administrative guardrails.\nSupport cost optimization efforts by recommending best practices for workload management, cluster sizing, autoscaling, scheduling, and efficient resource usage.\nParticipate in platform design discussions, architecture reviews, and operational planning to improve scalability, maintainability, and governance maturity.\nCreate and maintain documentation, standards, runbooks, and repeatable operating procedures for platform administration and governed delivery.\nAs needed, provide platform-level guidance for adjacent analytics and AI capabilities in alignment with governance and operational standards.\nRequired Qualifications\nTechnical training/certification(s) and 5+ years of Databricks administration, platform engineering, or data engineering operations.\n3+ years of hands-on experience administering Databricks in an enterprise environment.\nStrong experience with Unity Catalog, workspace administration, permissions management, user/group access controls, and storage integrations.\nPractical data engineering experience using SQL, Python, PySpark, or Spark in support of pipeline troubleshooting, platform standards, and engineering collaboration.\nStrong understanding of Databricks security best practices, including RBAC, ABAC, least privilege, cluster policies, secrets management, and secure workspace configuration.\nExperience supporting governance initiatives such as metadata management, tagging, lineage, access policies, or data quality standards.\nFamiliarity with AWS, Azure, or multi-cloud Databricks environments.\nExperience balancing hands-on administrative responsibilities with strategic advisory work on platform design, policies, and best practices.\nMust be able to obtain and maintain a Public Trust.\nPreferred Qualifications\nDatabricks certifications strongly preferred.\nExperience advising on or implementing governance standards for curated or gold data products.\nStrong written and verbal communication skills, including documentation and cross-functional stakeholder engagement.\nFamiliarity with FinOps practices, platform cost monitoring, and workload optimization in Databricks.\nExperience with Databricks administrative capabilities such as audit logs, cluster policies, account console administration, workspace automation, and policy-driven governance.\nExperience with Terraform, Databricks CLI, CI/CD pipelines, or infrastructure automation.\nExposure to Databricks analytics, reporting, model serving, or AI/ML platform capabilities.\nFamiliarity with enterprise metadata, lineage, and tagging strategies in regulated environments.\nDatabricks certification such as Data Engineer Associate/Professional or equivalent Databricks administration accreditation.\n#GDITFedHealthJobs\nWork Requirements\nYears of Experience\n5 + years of related experience\nmay vary based on technical training, certification(s), or degree\nCertification\nDatabricks Certified Data Engineer Professional | Databricks - Databricks\nDatabricks Certified Data Engineer Associate | Databricks - Databricks\nTravel Required\nNone\nSalary and Benefit Information\nThe 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.\nOur Identity Verification Process\nAs 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.\nAbout Our Work\nWe 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.\nJoin our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","company":"General Dynamics Information Technology","rawCompany":"generaldynamicsinformationtechnology","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T19:14:08.582Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Databricks Administrator / Platform Engineer","description":"Clearance Level\nNone\nCategory\nData Science and Data Engineering\nLocation\nRemote, Working from the USA\nKey Skills For Success\nDatabricks Platform\nDatabricks Unity Catalog\nData Engineering\nData Governance\nStructured Query Language (SQL) Development\nREQ#: RQ220097\nPublic Trust: NACI (T1)\nRequisition Type: Regular\nYour Impact\nOwn 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.\nJob Description\nGDIT 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.\nThis 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.\nThis role is fully remote!\nKey Responsibilities\nAdminister and maintain Databricks workspaces, catalogs, schemas, storage integrations, permissions, and platform configurations.\nManage Unity Catalog structures, including catalogs, schemas, external locations, storage credentials, grants, metadata standards, and governance controls.\nSupport user provisioning, group membership, RBAC/ABAC models, service principals, secrets management, and secure access patterns across the platform.\nDefine and enforce operational standards for cluster policies, compute governance, runtime management, workspace security, and scalable platform usage.\nTroubleshoot platform issues related to permissions, connectivity, compute usage, storage access, workspace administration, and job execution.\nContribute data engineering expertise to platform best practices, including ingestion, transformation, orchestration, data quality, and performance optimization patterns.\nAdvise governance teams on standards for curated data products, metadata, tagging, lineage, and data quality expectations.\nPartner with security, cloud, and engineering teams to improve monitoring, auditability, policy enforcement, and administrative guardrails.\nSupport cost optimization efforts by recommending best practices for workload management, cluster sizing, autoscaling, scheduling, and efficient resource usage.\nParticipate in platform design discussions, architecture reviews, and operational planning to improve scalability, maintainability, and governance maturity.\nCreate and maintain documentation, standards, runbooks, and repeatable operating procedures for platform administration and governed delivery.\nAs needed, provide platform-level guidance for adjacent analytics and AI capabilities in alignment with governance and operational standards.\nRequired Qualifications\nTechnical training/certification(s) and 5+ years of Databricks administration, platform engineering, or data engineering operations.\n3+ years of hands-on experience administering Databricks in an enterprise environment.\nStrong experience with Unity Catalog, workspace administration, permissions management, user/group access controls, and storage integrations.\nPractical data engineering experience using SQL, Python, PySpark, or Spark in support of pipeline troubleshooting, platform standards, and engineering collaboration.\nStrong understanding of Databricks security best practices, including RBAC, ABAC, least privilege, cluster policies, secrets management, and secure workspace configuration.\nExperience supporting governance initiatives such as metadata management, tagging, lineage, access policies, or data quality standards.\nFamiliarity with AWS, Azure, or multi-cloud Databricks environments.\nExperience balancing hands-on administrative responsibilities with strategic advisory work on platform design, policies, and best practices.\nMust be able to obtain and maintain a Public Trust.\nPreferred Qualifications\nDatabricks certifications strongly preferred.\nExperience advising on or implementing governance standards for curated or gold data products.\nStrong written and verbal communication skills, including documentation and cross-functional stakeholder engagement.\nFamiliarity with FinOps practices, platform cost monitoring, and workload optimization in Databricks.\nExperience with Databricks administrative capabilities such as audit logs, cluster policies, account console administration, workspace automation, and policy-driven governance.\nExperience with Terraform, Databricks CLI, CI/CD pipelines, or infrastructure automation.\nExposure to Databricks analytics, reporting, model serving, or AI/ML platform capabilities.\nFamiliarity with enterprise metadata, lineage, and tagging strategies in regulated environments.\nDatabricks certification such as Data Engineer Associate/Professional or equivalent Databricks administration accreditation.\n#GDITFedHealthJobs\nWork Requirements\nYears of Experience\n5 + years of related experience\nmay vary based on technical training, certification(s), or degree\nCertification\nDatabricks Certified Data Engineer Professional | Databricks - Databricks\nDatabricks Certified Data Engineer Associate | Databricks - Databricks\nTravel Required\nNone\nSalary and Benefit Information\nThe 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.\nOur Identity Verification Process\nAs 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.\nAbout Our Work\nWe 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.\nJoin our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","datePosted":"2026-08-04T19:14:08.582Z","dateModified":"2026-08-04T19:14:08.582Z","hiringOrganization":{"@type":"Organization","name":"General Dynamics Information Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5177885a812eabdae97be25e"},"url":"https://jobsearcher.com/jobs/5177885a812eabdae97be25e"}}