Enterprise Data Architect (Enterprise Data & Cloud Modernization)
Remote • Posted 2 hours ago • Updated 2 hours ago

Improving Corporate Services
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Job Details
Skills
- BigQuery
- GCP
- Pub/Sub
- Spark
- Looker/LookML
- OSI
- SQL
- IAM
- Google Cloud
- Google Cloud Platform
- Leadership
- Prototyping
Summary
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.
- Dice Id: 10263014
- Position Id: 8883810
- Posted 2 hours ago
Company Info
Improving is the leading IT consulting and software engineering company in North America. We help enterprises and organizations solve their most complex technology challenges through modern software development, technology consulting, agile training, and team augmentation services. Whether your business needs to understand the impact of a new initiative, deploy a new application, or partner with a trusted firm that can assimilate into your team, Improving is here to help! We are dedicated to educating and supporting your business each step of the way.
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