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Data Platform Architect/Data Warehouse Architect Lansing, MI; Hybrid
Job in
Lansing, Ingham County, Michigan, 48901, USA
Listed on 2026-09-06
Listing for:
Ark Solutions
Full Time
position Listed on 2026-09-06
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Information Security & Data Protection, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Data Platform Architect / Data Warehouse Architect
Seeking an experienced Data Platform Architect / Data Warehouse Architect to lead the design and modernization of enterprise data platforms. The role will focus on developing data strategies, target-state architectures, reference architectures, and architecture standards while supporting Data, Analytics, and ML initiatives.
Responsibilities:
- Lead Data Architects and collaborate with Enterprise Architects on data strategy, data landscape, and target-state architecture.
- Develop Reference Architectures, Architecture Patterns, standards, and best practices.
- Conduct architecture reviews and manage architectural exceptions.
- Architect modern Enterprise Data Platforms (EDP) supporting Data, Analytics, and ML products.
- Design solutions using Data Lakes, Delta Lakes, Data Warehouses, Databricks, and cloud data services.
- Lead RFI/RFP processes, technology evaluations, vendor selection, and POCs.
- Establish standards for data governance, security, quality, metadata, and compliance.
- Support modernization of legacy data warehouse and analytics environments.
- Collaborate with engineering, analytics, security, business, and vendor teams.
Required Qualifications:
- Bachelor's degree in Computer Science, Data Science, Information Systems, or related field.
- 5+ years of experience in Enterprise Data Architecture and Data Strategy.
- Experience with TOGAF, FEAF, DODAF, or similar architecture frameworks.
- Experience developing Reference Architectures and Architecture Pattern Libraries and conducting architecture reviews.
- Experience with Enterprise Data Platforms, cloud data architecture, and Data/Analytics/ML solutions.
- 3+ years of experience with RFI/RFP processes, technology/vendor evaluation, and selection.
Preferred
Skills:
- Data Lake, Delta Lake, Data Warehouse, Databricks, EDP
- Data Governance, Data Security, Metadata Management
- AWS, Azure, or GCP
- SQL, Python, R, or Java
- Power BI and Tableau
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