{"schemaVersion":"jobsearcher.job.v1","id":"1d78c044fcc669fb4eedc9f1","url":"https://jobsearcher.com/jobs/1d78c044fcc669fb4eedc9f1","canonicalUrl":"https://jobsearcher.com/jobs/1d78c044fcc669fb4eedc9f1","title":"Senior Data Platform / Data Product Engineering Lead","description":"Senior Data Platform / Data Product Engineering LeadWe are seeking a highly skilled and experienced Senior Data Platform / Data Product Engineering Lead to drive enterprise-scale data product lifecycle enablement across modern data platforms. This role will lead the design, standardization, and adoption of a paved path for data creators, enabling self-service, governed, and scalable data product development.Required Skills & Qualifications10 years of experience in Data Engineering / Data Platform rolesStrong hands-on expertise in Databricks (Delta Lake, workflows, DAG), Apache Airflow / Astronomer, Python, SQL, DBT, AWSProven experience implementing CI/CD frameworks (Harness, GitHub Actions, Azure DevOps)Deep understanding of data governance (catalogs, lineage, contracts, metadata), data quality and masking techniques, enterprise data platforms, and marketplace ecosystemsExperience with API-based integrations (e.g., entitlement systems like AccessCentral)Monitoring/observability tools (e.g., Datadog)Prior work experience at client or in client's IndustryApplicants must be able to work directly for Artech on W2Day-to-Day ResponsibilitiesDefine and implement a self-service data platform strategy to reduce onboarding frictionLead automated provisioning of Databricks workspaces, Airflow/Astronomer environments, and access and entitlementsArchitect and implement enterprise-wide data discovery and marketplace enablementLead design of scalable data ingestion, curation, and transformation frameworksDefine and enforce standard CI/CD pipelines across data productsDrive publishing of data products to Unity Catalog and Enterprise Data MarketplaceEstablish a scalable operating model for data product supportCompany Benefits & CultureCompetitive salary and benefits packageOpportunities for professional growth and developmentCollaborative and innovative work environment","company":"Artech","rawCompany":"artech","city":"Irvine","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-25T06:32:55.351Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-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":"Senior Data Platform / Data Product Engineering Lead","description":"Senior Data Platform / Data Product Engineering LeadWe are seeking a highly skilled and experienced Senior Data Platform / Data Product Engineering Lead to drive enterprise-scale data product lifecycle enablement across modern data platforms. This role will lead the design, standardization, and adoption of a paved path for data creators, enabling self-service, governed, and scalable data product development.Required Skills & Qualifications10 years of experience in Data Engineering / Data Platform rolesStrong hands-on expertise in Databricks (Delta Lake, workflows, DAG), Apache Airflow / Astronomer, Python, SQL, DBT, AWSProven experience implementing CI/CD frameworks (Harness, GitHub Actions, Azure DevOps)Deep understanding of data governance (catalogs, lineage, contracts, metadata), data quality and masking techniques, enterprise data platforms, and marketplace ecosystemsExperience with API-based integrations (e.g., entitlement systems like AccessCentral)Monitoring/observability tools (e.g., Datadog)Prior work experience at client or in client's IndustryApplicants must be able to work directly for Artech on W2Day-to-Day ResponsibilitiesDefine and implement a self-service data platform strategy to reduce onboarding frictionLead automated provisioning of Databricks workspaces, Airflow/Astronomer environments, and access and entitlementsArchitect and implement enterprise-wide data discovery and marketplace enablementLead design of scalable data ingestion, curation, and transformation frameworksDefine and enforce standard CI/CD pipelines across data productsDrive publishing of data products to Unity Catalog and Enterprise Data MarketplaceEstablish a scalable operating model for data product supportCompany Benefits & CultureCompetitive salary and benefits packageOpportunities for professional growth and developmentCollaborative and innovative work environment","datePosted":"2026-08-25T06:32:55.351Z","dateModified":"2026-08-25T06:32:55.351Z","hiringOrganization":{"@type":"Organization","name":"Artech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1d78c044fcc669fb4eedc9f1"},"url":"https://jobsearcher.com/jobs/1d78c044fcc669fb4eedc9f1"}}