{"schemaVersion":"jobsearcher.job.v1","id":"a0bc1ded1d02821062a5f068","url":"https://jobsearcher.com/jobs/a0bc1ded1d02821062a5f068","canonicalUrl":"https://jobsearcher.com/jobs/a0bc1ded1d02821062a5f068","title":"Data Engineering Manager","description":"OverviewAs Manager, Data Engineering, you lead the DAS data engineering function to deliver scalable analytics on Google Cloud. You translate business needs into prioritized data infrastructure solutions and establish standards for reliable, high-quality data assets. You guide architecture decisions over massive datasets and drive governance, quality, and production-grade pipelines. You collaborate with executives, engineers, and data scientists to shape a data-centric roadmap that enables data-driven decision making and AI-enabled insights. This role offers impact across devices platforms, with opportunities to influence strategy and execution at scale.Compensation / Benefits20% bonus targetequitybenefitsremote-friendly optionsprofessional development supportResponsibilitiesDefine and oversee scalable data pipelines and ETL/ELT processes for a centralized data warehouseGuide performant data modeling and SQL transformation standards to optimize analytics at scaleDrive data quality, governance, and reliability frameworks; ensure trusted data assetsPartner with executives, data scientists, and engineering to translate business needs into prioritized roadmapsManage resources and capacity; promote code/design reviews and best practices across teamsSet standards and best practices for production-grade data infrastructure and AI-ready data foundationsLead architecture decisions for massive datasets and guide validation of data infrastructure investmentsCollaborate with cross-functional teams to align data strategy with business goalsKey requirements10 years of experience with data infrastructure and data models through exploratory queries and scripting5 years of experience coding in one or more programming languages, building data pipelines, and working with data warehousing concepts and scalable architectures3 years of experience in people management, supervision, or team leadershipExecutive communicationLeadership and team-buildingCross-functional collaborationGCP data services (BigQuery)Vertex AI and AI infrastructureETL/ELT design and best practices","company":"Google","rawCompany":"google","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-10-26T14:32:53.299Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"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":"Data Engineering Manager","description":"OverviewAs Manager, Data Engineering, you lead the DAS data engineering function to deliver scalable analytics on Google Cloud. You translate business needs into prioritized data infrastructure solutions and establish standards for reliable, high-quality data assets. You guide architecture decisions over massive datasets and drive governance, quality, and production-grade pipelines. You collaborate with executives, engineers, and data scientists to shape a data-centric roadmap that enables data-driven decision making and AI-enabled insights. This role offers impact across devices platforms, with opportunities to influence strategy and execution at scale.Compensation / Benefits20% bonus targetequitybenefitsremote-friendly optionsprofessional development supportResponsibilitiesDefine and oversee scalable data pipelines and ETL/ELT processes for a centralized data warehouseGuide performant data modeling and SQL transformation standards to optimize analytics at scaleDrive data quality, governance, and reliability frameworks; ensure trusted data assetsPartner with executives, data scientists, and engineering to translate business needs into prioritized roadmapsManage resources and capacity; promote code/design reviews and best practices across teamsSet standards and best practices for production-grade data infrastructure and AI-ready data foundationsLead architecture decisions for massive datasets and guide validation of data infrastructure investmentsCollaborate with cross-functional teams to align data strategy with business goalsKey requirements10 years of experience with data infrastructure and data models through exploratory queries and scripting5 years of experience coding in one or more programming languages, building data pipelines, and working with data warehousing concepts and scalable architectures3 years of experience in people management, supervision, or team leadershipExecutive communicationLeadership and team-buildingCross-functional collaborationGCP data services (BigQuery)Vertex AI and AI infrastructureETL/ELT design and best practices","datePosted":"2026-10-26T14:32:53.299Z","dateModified":"2026-10-26T14:32:53.299Z","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a0bc1ded1d02821062a5f068"},"url":"https://jobsearcher.com/jobs/a0bc1ded1d02821062a5f068"}}