[Remote] Databricks Administrator / Platform Engineer

Note: The job is a remote job and is open to candidates in USA. General Dynamics Information Technology 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, and secure platform operations while advising governance and engineering stakeholders on best practices for data product development.ResponsibilitiesAdminister and maintain Databricks workspaces, catalogs, schemas, storage integrations, permissions, and platform configurationsManage Unity Catalog structures, including catalogs, schemas, external locations, storage credentials, grants, metadata standards, and governance controlsSupport user provisioning, group membership, RBAC/ABAC models, service principals, secrets management, and secure access patterns across the platformDefine and enforce operational standards for cluster policies, compute governance, runtime management, workspace security, and scalable platform usageTroubleshoot platform issues related to permissions, connectivity, compute usage, storage access, workspace administration, and job executionContribute data engineering expertise to platform best practices, including ingestion, transformation, orchestration, data quality, and performance optimization patternsAdvise governance teams on standards for curated data products, metadata, tagging, lineage, and data quality expectationsPartner with security, cloud, and engineering teams to improve monitoring, auditability, policy enforcement, and administrative guardrailsSupport cost optimization efforts by recommending best practices for workload management, cluster sizing, autoscaling, scheduling, and efficient resource usageParticipate in platform design discussions, architecture reviews, and operational planning to improve scalability, maintainability, and governance maturityCreate and maintain documentation, standards, runbooks, and repeatable operating procedures for platform administration and governed deliveryAs needed, provide platform-level guidance for adjacent analytics and AI capabilities in alignment with governance and operational standardsSkillsTechnical training/certification(s) and 5+ years of Databricks administration, platform engineering, or data engineering operations3+ years of hands-on experience administering Databricks in an enterprise environmentStrong experience with Unity Catalog, workspace administration, permissions management, user/group access controls, and storage integrationsPractical data engineering experience using SQL, Python, PySpark, or Spark in support of pipeline troubleshooting, platform standards, and engineering collaborationStrong understanding of Databricks security best practices, including RBAC, ABAC, least privilege, cluster policies, secrets management, and secure workspace configurationExperience supporting governance initiatives such as metadata management, tagging, lineage, access policies, or data quality standardsFamiliarity with AWS, Azure, or multi-cloud Databricks environmentsExperience balancing hands-on administrative responsibilities with strategic advisory work on platform design, policies, and best practicesMust be able to obtain and maintain a Public TrustDatabricks certifications strongly preferredExperience advising on or implementing governance standards for curated or gold data productsStrong written and verbal communication skills, including documentation and cross-functional stakeholder engagementFamiliarity with FinOps practices, platform cost monitoring, and workload optimization in DatabricksExperience with Databricks administrative capabilities such as audit logs, cluster policies, account console administration, workspace automation, and policy-driven governanceExperience with Terraform, Databricks CLI, CI/CD pipelines, or infrastructure automationExposure to Databricks analytics, reporting, model serving, or AI/ML platform capabilitiesFamiliarity with enterprise metadata, lineage, and tagging strategies in regulated environmentsDatabricks certification such as Data Engineer Associate/Professional or equivalent Databricks administration accreditationBenefitsA variety of medical plan options, some with Health Savings AccountsDental plan optionsA vision planA 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company matchFull flex work weeks where possibleA variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave15 days of paid leave per calendar year to be used for vacations, personal business, and illnessAn additional 10 paid holidays per yearPaid leave and paid holidays are prorated based on the employee’s date of hireThe GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employeesShort and long-term disability benefitsLife, accidental death and dismemberment, personal accident, critical illness and business travel and accident insuranceCompany OverviewGeneral Dynamics Information Technology is an IT consulting company that specializes in cyber security, AI, and quantum computing. It is a sub-organization of General Dynamics. It was founded in 1999, and is headquartered in Falls Church, Virginia, USA, with a workforce of 10001+ employees. Its website is https://www.gdit.com/.Company H1B SponsorshipGeneral Dynamics Information Technology has a track record of offering H1B sponsorships, with 13 in 2026, 31 in 2025, 27 in 2024, 36 in 2023, 19 in 2022, 18 in 2021, 13 in 2020. Please note that this does not guarantee sponsorship for this specific role.