Enterprise Data Architect (Enterprise Data & Cloud Modernization)
Role Overview This is not a traditional data architect role. We are seeking an Enterprise Data Architect to help reshape how a large organization designs, governs, and scales its data ecosystem. You will lead the modernization of legacy Teradata platforms into a cloud-first BigQuery architecture, define enterprise data domain and Data-as-a-Product strategies, and serve as the bridge between executive vision and technical execution. This is a strategic, high-impact position influencing the future of enterprise analytics. What You’ll Do · Executive & Strategic Leadership · Lead executive-level discussions with SVPs and senior leadership to assess current enterprise data capabilities and define future-state architecture · Conduct enterprise data platform maturity assessments across architecture, integration, governance, and domain ownership · Facilitate architecture workshops with technical leaders, platform SMEs, and executive stakeholders · Serve as the bridge between enterprise vision and hands-on engineering execution Enterprise Data Ecosystem Design · Design and articulate enterprise-scale data ecosystems, including patterns and approaches for: · Data curation frameworks, including medallion architecture (raw / curated / consumption layers) · Data-as-a-product operating models, including domain ownership and enablement strategies · Data Mesh patterns and federated governance approaches · Customer data management, including unified customer modeling · Financial KYC modeling experience is a strong plus · Open Semantic frameworks (OSI) and semantic layer strategy · Enterprise data domain architecture and integration contracts · Canonical modeling and domain-driven design principles Cloud & Modernization Architecture · Evaluate existing Teradata data warehouse environments and design migration / modernization approaches into Google Cloud · Architect scalable data platforms centered on BigQuery and Google Cloud Storage · Define best practices for cloud storage, lifecycle management, and access patterns · Design event-driven architectures using Pub/Sub · Architect large-scale processing solutions using Dataflow and Dataproc (Spark) · Establish IAM, security boundaries, and governance frameworks within Google Cloud Platform · Define cost optimization strategies using partitioning, clustering, workload isolation, and query design Prototyping & Hands-On Validation · Build and validate prototype solutions in Google Cloud Platform / BigQuery to demonstrate architectural feasibility · Partner with engineering teams to ensure architecture patterns are deployable and scalable · Provide hands-on guidance in performance optimization and cost control Governance & Enablement · Design enterprise-scale data governance models · Define data access controls, lifecycle policies, and compliance-aligned usage standards · Establish architectural guardrails to prevent legacy anti-patterns in cloud implementations · Support enablement strategies that empower domains while maintaining enterprise standards What You Bring · Proven experience as an Enterprise Data Architect in large, complex organizations · Strong background in Teradata and modern cloud data platforms, specifically Google BigQuery · Deep expertise in enterprise data domain design, modeling standards, and integration architecture · Experience defining data ecosystem operating models (Data Mesh, Data-as-a-Product) · Strong understanding of medallion architecture patterns · Experience with unified customer data modeling; KYC domain knowledge preferred Hands-on experience with: · BigQuery · Google Cloud Storage · Pub/Sub · Dataflow and/or Dataproc (Spark) · IAM and enterprise cloud governance · Looker / LookML · Familiarity with Open Semantic frameworks (OSI) · Advanced SQL and cloud cost optimization expertise · Exceptional ability to communicate architecture strategy to both executive and technical audiences Ideal Candidate Profile You are as comfortable in a boardroom defining enterprise data strategy as you are whiteboarding medallion architecture patterns or prototyping a BigQuery data product. You understand both legacy data warehouse ecosystems and modern cloud-native data architectures — and you know how to guide organizations through the transformation from one to the other without compromising governance, scalability, or long-term sustainability. Apply tot his job Apply To this Job