Job Description
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.
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