{"schemaVersion":"jobsearcher.job.v1","id":"fc8ec7a06e910cede1e3dc68","url":"https://jobsearcher.com/jobs/fc8ec7a06e910cede1e3dc68","canonicalUrl":"https://jobsearcher.com/jobs/fc8ec7a06e910cede1e3dc68","title":"Solutions Architect, Data Cloud","description":"Overview\nIn this role you will own and scale data-centric solutions across customers, shaping architectures and reference implementations on Google Cloud. You collaborate with Product and Engineering to influence roadmaps and deliver production-ready data assets, demos, and guides. You’ll supervise technical execution for top clients and partners, balancing cost, security, and governance while driving AI-enabled capabilities. This is a hands-on, cross-functional leadership role that accelerates customer success and cloud adoption. You’ll work at scale to turn complex data challenges into repeatable, trusted solutions.\n\nCompensation / Benefitsbonus targetequitybenefits\nResponsibilitiesOwn technical relationship with key advertising clients and product partners across Engineering, Sales and Product ManagementLead cross-functional teams from concept design to data analysis and support for Google's advertising platforms and partnershipsArchitect and publish high-impact data assets, reference architectures, and accelerators to showcase data capabilitiesOversee technical execution and business operations of partnerships and product integrationsDevelop tools and automate products to enable faster deployment and repeatable solutionsDesign secure, scalable reference implementations spanning on-prem and cloud while considering cost, security, privacy, and governance\nKey requirementsBachelor's degree in Computer Science or related field, or equivalent practical experience10 years of experience with ETL tools, data pipeline orchestration (e.g., Spark), and data warehousing architectures2 years of experience with Google Cloud’s Vertex PlatformExperience with SQL, NoSQL, Python, Java, or data modeling techniquesCross-functional collaborationCustomer-facing consultingStrategic problem solvingETL toolsData pipeline orchestration (e.g., Spark)Data warehousing architectures","company":"Google","rawCompany":"google","city":"Evanston","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:54:23.464Z","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":"Solutions Architect, Data Cloud","description":"Overview\nIn this role you will own and scale data-centric solutions across customers, shaping architectures and reference implementations on Google Cloud. You collaborate with Product and Engineering to influence roadmaps and deliver production-ready data assets, demos, and guides. You’ll supervise technical execution for top clients and partners, balancing cost, security, and governance while driving AI-enabled capabilities. This is a hands-on, cross-functional leadership role that accelerates customer success and cloud adoption. You’ll work at scale to turn complex data challenges into repeatable, trusted solutions.\n\nCompensation / Benefitsbonus targetequitybenefits\nResponsibilitiesOwn technical relationship with key advertising clients and product partners across Engineering, Sales and Product ManagementLead cross-functional teams from concept design to data analysis and support for Google's advertising platforms and partnershipsArchitect and publish high-impact data assets, reference architectures, and accelerators to showcase data capabilitiesOversee technical execution and business operations of partnerships and product integrationsDevelop tools and automate products to enable faster deployment and repeatable solutionsDesign secure, scalable reference implementations spanning on-prem and cloud while considering cost, security, privacy, and governance\nKey requirementsBachelor's degree in Computer Science or related field, or equivalent practical experience10 years of experience with ETL tools, data pipeline orchestration (e.g., Spark), and data warehousing architectures2 years of experience with Google Cloud’s Vertex PlatformExperience with SQL, NoSQL, Python, Java, or data modeling techniquesCross-functional collaborationCustomer-facing consultingStrategic problem solvingETL toolsData pipeline orchestration (e.g., Spark)Data warehousing architectures","datePosted":"2026-09-15T03:54:23.464Z","dateModified":"2026-09-15T03:54:23.464Z","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Evanston","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fc8ec7a06e910cede1e3dc68"},"url":"https://jobsearcher.com/jobs/fc8ec7a06e910cede1e3dc68"}}