Data Architect - GCP Cloud - Remote

Role: Data Architect - GCP CloudLocation- Remote Role Summary The GCP Data Solution Architect is responsible for designing and governing enterprise scale data platforms on Google Cloud The role will define target state architectures establish reusable data patterns and frameworks guide migration and modernization initiatives and ensure secure scalable and cost-efficient delivery of data products and analytics solutionsThe architect will collaborate with business stakeholder’s product owners data engineers data modelers governance teams and cloud platform teams to deliver a modern Lakehouse architecture supporting analytics AIML and business intelligence workloads This aligns with enterprise expectations for scalable architectures reusable patterns data product models and trusted data catalog capabilities GCP Data P9 May 2026 Word GCP Data Approved WordKey ResponsibilitiesArchitecture Solution DesignDefine enterprise scale GCP data platform architectureDesign Lakehouse architectures leveraging Medallion principles Bronze Silver GoldCreate scalable reusable data product and domain driven architecture patternsDesign meta data driven ingestion frameworks and data processing architecturesDevelop reference architectures design standards and implementation blueprintsLead architecture reviews and technical governance boardsCloud Data PlatformArchitect solutions using: BigQueryCloud Storage GCSDataprocDataflowPubSubCloud ComposerDataplexData CatalogVertex AICloud FunctionsCloud RunDefine storage partitioning clustering and optimization strategiesEstablish enterprise data interoperability patternsData Engineering ModernizationLead migration from legacy platforms such as Snowflake Hadoop Teradata Oracle or AWSbased ecosystems to GCPDefine ingestion strategies forDatabasesAPIsSaaS PlatformsStreaming SourcesFiles CSV Parquet ExcelEnable batch incremental CDC and realtime architecturesDesign Icebergbased Lakehouse solutionsGovernance Security ComplianceDefine enterprise data governance standardsImplement data lineage cataloging metadata management and stewardship processesDesign secure architectures usingIAMVPCService AccountsKMSSecret ManagerEnsure compliance with data privacy security and audit requirementsPerformance Cost OptimizationDesign costefficient cloud architecturesOptimize BigQuery consumption and storage costsImprove processing performance across Dataflow and Dataproc workloadsEstablish FinOps and monitoring practicesStakeholder LeadershipEngage with business and technology leadershipConvert business requirements into target state architecturesLead workshops discovery sessions and architecture reviews