{"id":3955452,"url":"https://alion.io/job/guidehouse-databricks-platform-administrator-2","title":"Databricks Platform Administrator","company":{"id":4179,"name":"Guidehouse","domain":"guidehouse.com","url":"https://alion.io/company/guidehouse","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":119,"ghost_share":0,"stale_share":0.714,"repost_share":0.017,"time_to_fill_p50_days":29,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India","Thiruvananthapuram, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"Delta Lake","optional":true},{"name":"Git","optional":true},{"name":"GitHub Actions","optional":true},{"name":"MLFlow","optional":true},{"name":"Power BI","optional":true},{"name":"PowerShell","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-09T07:35:20Z","employer_posted_date":null,"last_verified_at":"2026-11-09T07:35:20Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job Family:\n\nDatabase Administration\n\nTravel Required:\n\nNone\n\nClearance Required:\n\nNone\n\nWhat You Will Do:\n\nWe're seeking an experienced Databricks Platform Administrator to manage and improve our enterprise data platform. You'll help keep the environment secure, reliable, scalable, and cost-effective, working closely with data engineering, data science, development, security, and cloud infrastructure teams.\n\nThe ideal candidate has at least four years of experience in cloud platforms, data engineering infrastructure, platform administration, or a related field, including hands-on experience administering Databricks in an enterprise environment. This is a non-people manager role. All hands-on.\n\nWhat You Will Need:\nAdminister Databricks workspaces, clusters, jobs, notebooks, instance pools, SQL warehouses, and related services.\nManage users, groups, roles, service principals, permissions, credentials, and access controls.\nApply security and governance standards using Unity Catalog, role-based access controls, and data-governance policies.\nMonitor platform availability, system health, job execution, cluster performance, and resource usage.\nTroubleshoot failed jobs, cluster and connectivity issues, performance bottlenecks, and access incidents.\nConfigure clusters, pools, autoscaling, and compute policies to improve performance and manage costs.\nSupport Databricks integrations with cloud storage, databases, business intelligence tools, APIs, and enterprise applications.\nMaintain configurations across development, testing, staging, and production environments.\nSupport automated deployment and infrastructure management through CI/CD and Infrastructure as Code.\nBuild and maintain monitoring dashboards, alerts, audit reports, and operational documentation.\nCoordinate platform upgrades, configuration changes, testing, and releases.\nPartner with cybersecurity and governance teams on audits, compliance, logging, and data protection.\nAssist with establishing platform standards, administrative procedures, naming conventions, and operational practices.\nProvide technical guidance to data engineers, analysts, data scientists, and application teams.\nAssess platform usage and recommend improvements to scalability, reliability, performance, and cost.\n\nRequired Qualifications:\nAt least four years of experience in cloud infrastructure, data platform administration, database administration, DevOps, data engineering, or a related technical field.\nHands-on experience administering Databricks in an enterprise environment.\nExperience with Azure Databricks is a must and Databricks on AWS is a nice to have.\nStrong knowledge of Databricks workspaces, clusters, jobs, notebooks, SQL warehouses, instance pools, and compute policies.\nExperience with Unity Catalog, identity management, service principals, secrets, access controls, and data governance.\nExperience monitoring and troubleshooting Databricks jobs, clusters, integrations, and platform performance.\nExperience with cloud storage, networking, security, and identity-management services.\nProficiency in SQL and at least one scripting language, such as Python or PowerShell.\nExperience with Git, CI/CD pipelines, and automated deployment.\nExperience with Infrastructure as Code tools such as Terraform.\nExperience integrating Databricks with Power BI, Tableau, Snowflake, SQL Server, or other enterprise data platforms.\nStrong troubleshooting, documentation, communication, and stakeholder-management skills.\nBachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.\n\nWhat Would Be Nice To Have:\nDatabricks 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