{"schemaVersion":"jobsearcher.job.v1","id":"e2e96881a13799f56a8e73b6","url":"https://jobsearcher.com/jobs/e2e96881a13799f56a8e73b6","canonicalUrl":"https://jobsearcher.com/jobs/e2e96881a13799f56a8e73b6","title":"Data Platform Engineer","description":"Design and operate enterprise data architecture on Databricks with Unity Catalog, Privacera, and Collibra. Build governed ETL pipelines, maintain data models, and operationalize ML in batch and real-time with compliance controls.\r\nResponsibilitiesDesign and implement data architecture using Databricks, Unity Catalog, Privacera, and Collibra\r\nDevelop, optimize, and manage data pipelines for ETL processes on Databricks, ensuring data integrity and quality\r\nDesign and maintain data models and schemas, incorporating Unity Catalog and Collibra governance practices\r\nEnsure data security and regulatory compliance using Databricks and Privacera features\r\nEstablish and enforce data governance standards including metadata management, lineage, and data quality\r\nOperationalize Machine Learning models in batch and real-time data pipelines with governance controls\r\nCollaborate with cross-functional teams including data scientists, engineers, and analysts to deliver scalable data solutions\r\nRequirements10+ years data platform or data engineering experience\r\nHands-on expertise with Databricks: ETL pipelines, Delta Lake, performance tuning\r\nProduction experience with Unity Catalog for access control and data governance\r\nPrivacera experience for data security, privacy, and regulatory compliance\r\nCollibra experience for metadata management, lineage, and data catalog operations\r\nData modeling and schema design across batch and streaming workloads\r\nMLOps: operationalizing ML models in batch and real-time pipelines with governance controls\r\nStrong collaboration with data scientists, engineers, and analysts#J-18808-Ljbffr","company":"Agenticbricks","rawCompany":"agenticbricks","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-11-13T01:43:40.978Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Platform Engineer","description":"Design and operate enterprise data architecture on Databricks with Unity Catalog, Privacera, and Collibra. Build governed ETL pipelines, maintain data models, and operationalize ML in batch and real-time with compliance controls.\r\nResponsibilitiesDesign and implement data architecture using Databricks, Unity Catalog, Privacera, and Collibra\r\nDevelop, optimize, and manage data pipelines for ETL processes on Databricks, ensuring data integrity and quality\r\nDesign and maintain data models and schemas, incorporating Unity Catalog and Collibra governance practices\r\nEnsure data security and regulatory compliance using Databricks and Privacera features\r\nEstablish and enforce data governance standards including metadata management, lineage, and data quality\r\nOperationalize Machine Learning models in batch and real-time data pipelines with governance controls\r\nCollaborate with cross-functional teams including data scientists, engineers, and analysts to deliver scalable data solutions\r\nRequirements10+ years data platform or data engineering experience\r\nHands-on expertise with Databricks: ETL pipelines, Delta Lake, performance tuning\r\nProduction experience with Unity Catalog for access control and data governance\r\nPrivacera experience for data security, privacy, and regulatory compliance\r\nCollibra experience for metadata management, lineage, and data catalog operations\r\nData modeling and schema design across batch and streaming workloads\r\nMLOps: operationalizing ML models in batch and real-time pipelines with governance controls\r\nStrong collaboration with data scientists, engineers, and analysts#J-18808-Ljbffr","datePosted":"2026-11-13T01:43:40.978Z","dateModified":"2026-11-13T01:43:40.978Z","hiringOrganization":{"@type":"Organization","name":"Agenticbricks","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e2e96881a13799f56a8e73b6"},"url":"https://jobsearcher.com/jobs/e2e96881a13799f56a8e73b6"}}