{"schemaVersion":"jobsearcher.job.v1","id":"4a70753676d2f92a2bcdcf5a","url":"https://jobsearcher.com/jobs/4a70753676d2f92a2bcdcf5a","canonicalUrl":"https://jobsearcher.com/jobs/4a70753676d2f92a2bcdcf5a","title":"Data Lakehouse Architect – Data Onboarding, DataOps & Data Products","description":"Position - Data Lakehouse Architect – Data Onboarding, DataOps & Data ProductsLocation - United States/CanadaDuration - Long TermMain ResponsibilitiesWork closely with Data Engineering, IT, Analytics, and Insights teams throughout the Lakehouse onboarding lifecycle.Review project architecture, onboarding designs, and technical documents; provide actionable feedback and meet agreed SLAs for review and approval.Guide teams on approved Bronze, Silver, and Gold patterns; lead POCs and establish new ingestion patterns when required.Maintain the Lakehouse ingestion pattern library and update reusable onboarding guidance as platform capabilities evolve.Work with Enterprise Architecture to keep designs, standards, and implementation guidelines current.Adjust metadata, lineage, catalog, governance, data quality, and observability frameworks to support new patterns.Review conceptual, logical, and semantic models for Gold data products, including business entities, KPIs, metrics, and reporting structures.Drive DataOps and GenieOps guidelines, enablement, and rollout to support a large volume of production pipelines.Technical KnowledgeDatabricks Certified Data Engineer – requiredMicrosoft Azure ecosystem and Azure DatabricksLakeflow Connect, Delta Lake, Unity Catalog, and Medallion ArchitectureDeep experience with connectors and ingestion from SAP, Salesforce, Snowflake, APIs, files, and enterprise applicationsPipeline scalability, production operations, performance tuning, observability, and cost optimizationConceptual, logical, physical, and semantic data modelingImplement cost optimization strategies.Automate production monitoring using GenieOps.","company":"Quantum Integrators","rawCompany":"quantum integrators","city":"Springfield","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-10-12T03:16:13.273Z","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 Lakehouse Architect – Data Onboarding, DataOps & Data Products","description":"Position - Data Lakehouse Architect – Data Onboarding, DataOps & Data ProductsLocation - United States/CanadaDuration - Long TermMain ResponsibilitiesWork closely with Data Engineering, IT, Analytics, and Insights teams throughout the Lakehouse onboarding lifecycle.Review project architecture, onboarding designs, and technical documents; provide actionable feedback and meet agreed SLAs for review and approval.Guide teams on approved Bronze, Silver, and Gold patterns; lead POCs and establish new ingestion patterns when required.Maintain the Lakehouse ingestion pattern library and update reusable onboarding guidance as platform capabilities evolve.Work with Enterprise Architecture to keep designs, standards, and implementation guidelines current.Adjust metadata, lineage, catalog, governance, data quality, and observability frameworks to support new patterns.Review conceptual, logical, and semantic models for Gold data products, including business entities, KPIs, metrics, and reporting structures.Drive DataOps and GenieOps guidelines, enablement, and rollout to support a large volume of production pipelines.Technical KnowledgeDatabricks Certified Data Engineer – requiredMicrosoft Azure ecosystem and Azure DatabricksLakeflow Connect, Delta Lake, Unity Catalog, and Medallion ArchitectureDeep experience with connectors and ingestion from SAP, Salesforce, Snowflake, APIs, files, and enterprise applicationsPipeline scalability, production operations, performance tuning, observability, and cost optimizationConceptual, logical, physical, and semantic data modelingImplement cost optimization strategies.Automate production monitoring using GenieOps.","datePosted":"2026-10-12T03:16:13.273Z","dateModified":"2026-10-12T03:16:13.273Z","hiringOrganization":{"@type":"Organization","name":"Quantum Integrators","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4a70753676d2f92a2bcdcf5a"},"url":"https://jobsearcher.com/jobs/4a70753676d2f92a2bcdcf5a"}}