{"schemaVersion":"jobsearcher.job.v1","id":"73f9a15bc770c83a3e05f2b8","url":"https://jobsearcher.com/jobs/73f9a15bc770c83a3e05f2b8","canonicalUrl":"https://jobsearcher.com/jobs/73f9a15bc770c83a3e05f2b8","title":"Google Cloud Platform Data Architect","description":"Dice is the leading career destination for tech experts at every stage of their careers. Our client, ICS Global Soft, Inc., is seeking the following. Apply via Dice today!Detailed JD:Designs and implements scalable, secure, and cost-effective data solutions on the Google Cloud Platform.Translate complex business requirements into cloud-native data warehouses, data lakes, and streaming pipelines, while ensuring strict data governance, platform modernization, and optimization for AI/ML workloads.Core ResponsibilitiesPlatform Architecture: Design and build end-to-end cloud-native data platforms (Data Lakes, Data Warehouses). Data Pipelines: Architect and optimize robust ETL/ELT pipelines for batch and real-time processing. Cloud Migration: Lead the transition and modernization of legacy on-premises data systems (e.g., Teradata, Oracle, Informatica) to Google Cloud Platform. Data Modeling: Translate business needs into logical, conceptual, and physical data models (e.g., star/snowflake schemas, Data Mesh concepts). Governance & Security: Implement enterprise-grade security frameworks, data masking, and metadata management. Required Skills & QualificationsGoogle Cloud Platform Core Services: Deep, production-level expertise in BigQuery, Cloud Storage, Dataflow, Data Fusion, Dataproc, and Pub/Sub. Programming Languages: Proficiency in Python and SQL. DevOps & Orchestration: Experience with Infrastructure-as-Code (Terraform) and workflow orchestration (Cloud Composer/Apache Airflow). Experience Level: Typically requires 15+ years of experience in data engineering or architecture, with at least 3–5 years focused specifically on Google Cloud Platform environments.","company":"Via Dice","rawCompany":"via dice","city":"Chaska","state":"MN","isRemote":false,"isActive":false,"createdAt":"2026-06-18T10:08:47.308Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Google Cloud Platform Data Architect","description":"Dice is the leading career destination for tech experts at every stage of their careers. Our client, ICS Global Soft, Inc., is seeking the following. Apply via Dice today!Detailed JD:Designs and implements scalable, secure, and cost-effective data solutions on the Google Cloud Platform.Translate complex business requirements into cloud-native data warehouses, data lakes, and streaming pipelines, while ensuring strict data governance, platform modernization, and optimization for AI/ML workloads.Core ResponsibilitiesPlatform Architecture: Design and build end-to-end cloud-native data platforms (Data Lakes, Data Warehouses). Data Pipelines: Architect and optimize robust ETL/ELT pipelines for batch and real-time processing. Cloud Migration: Lead the transition and modernization of legacy on-premises data systems (e.g., Teradata, Oracle, Informatica) to Google Cloud Platform. Data Modeling: Translate business needs into logical, conceptual, and physical data models (e.g., star/snowflake schemas, Data Mesh concepts). Governance & Security: Implement enterprise-grade security frameworks, data masking, and metadata management. Required Skills & QualificationsGoogle Cloud Platform Core Services: Deep, production-level expertise in BigQuery, Cloud Storage, Dataflow, Data Fusion, Dataproc, and Pub/Sub. Programming Languages: Proficiency in Python and SQL. DevOps & Orchestration: Experience with Infrastructure-as-Code (Terraform) and workflow orchestration (Cloud Composer/Apache Airflow). Experience Level: Typically requires 15+ years of experience in data engineering or architecture, with at least 3–5 years focused specifically on Google Cloud Platform environments.","datePosted":"2026-06-18T10:08:47.308Z","dateModified":"2026-06-18T10:08:47.308Z","hiringOrganization":{"@type":"Organization","name":"Via Dice","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chaska","addressRegion":"MN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"73f9a15bc770c83a3e05f2b8"},"url":"https://jobsearcher.com/jobs/73f9a15bc770c83a3e05f2b8"}}