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.