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# Data Warehouse Architect 5 - Solutions Architect

- **Company:** HTC Global Services, Inc.
- **Location:** Lansing, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Architectural Patterns, Information Systems, Data Architecture, Data Governance, Data Infrastructure, Data Mart, Data Systems, Data Warehousing, Enterprise Architecture Framework, Federal Enterprise Architecture, R (Programming Language), Python (Programming Language), Machine Learning, Metadata, NoSQL, Operational Data Store, SQL Databases, Enterprise Data Management, Data Strategy, Togaf, Data Lakes, Information Technology, DODAF, Databricks
- **Published:** September 5, 2026
- **Apply:** https://jobs.mitalent.org/job-seeker/job-details/JobCode/406245762

## About the Role

* BS in Computer Science, Data Science, Information Systems, or related CS degree.
 * 5+ years of enterprise data architecture and data strategy experience.
 * Experience using TOGAF, FEAF, DODAF, or similar enterprise architecture frameworks.
 * Experience developing reference architectures and conducting architectural reviews.
 * Experience with Enterprise Data Platforms, Data Lake, Data Warehousing, and data governance.
 * Experience leading enterprise cloud data platform procurement (RFI/RFP) initiatives.
Preferred Qualifications

 * Databricks and Delta Lake experience.
 * SQL, Python, R, and Java.
 * NoSQL, GraphDB, Operational Data Stores, Data Marts.

## Description

Lead the design and modernization of an enterprise data platform supporting data, analytics, and machine learning initiatives. This role focuses on defining target-state architecture, establishing governance and security standards, and guiding enterprise adoption of modern cloud-based data technologies.

What You'll Do

 * Design and maintain enterprise data platform architecture aligned with business strategy.
 * Develop target-state data architecture, reference architectures, and architecture patterns.
 * Lead architecture reviews and manage architectural exceptions.
 * Guide enterprise data warehouse and analytics modernization initiatives.
 * Establish data governance, metadata, quality, and security frameworks.
 * Partner with engineering, analytics, security, and business stakeholders on roadmap initiatives.
 * Support evaluation and selection of enterprise data platform technologies through RFI/RFP processes.
 * Drive innovation through proof of concepts and collaboration with technology vendors.


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