Data Ecosystems: Data Lake, Delta Lake, EDP, Data Warehousing, Data Marts, Operational Data Stores, Databricks. Lead Data Architects and collaborate with Enterprise Architects to align the data ecosystem with broader business, application, and technology landscapes.
Numbers & Facts
Location
Lansing, MI
Description
Core Responsibilities
Develop data landscapes, strategies, and architectural approaches using industry-standard frameworks (TOGAF 9, FEAF, DODAF).
Lead Data Architects and collaborate with Enterprise Architects to align the data ecosystem with broader business, application, and technology landscapes.
Build and maintain Reference Architectures and Architecture Pattern Libraries.
Conduct comprehensive architectural reviews and manage exceptions to preserve the structural integrity of the enterprise platform.
Drive the RFP process for selecting new Data Platform Technologies and partner with vendors to co-develop innovative EDP capabilities.
Champion a data-driven decision-making culture throughout the enterprise via Communities of Practice.
Qualifications & Experience
Education: Must have a BS in Computer Science, Data Science, Information Systems, or a related CS degree.
Architecture Strategy: Minimum 5 years of experience leading architectural development and landscape alignment.
Governance: Minimum 5 years of experience managing reference architectures, reviews, and architectural exceptions.
Vendor & Tech Management: Minimum 3 years of experience driving RFP processes, technology selection, and vendor partnerships.
Skill Category
Programming Languages: SQL, Python, R, Java
Data Ecosystems: Data Lake, Delta Lake, EDP, Data Warehousing, Data Marts, Operational Data Stores, Databricks
Databases: NoSQL DB, GraphDB
Architecture Frameworks: TOGAF, FEAF, DODAF
Visualization Tools: Power BI, Tableau
Join our dynamic team in Lansing, MI, where you'll have the opportunity to shape and innovate our data architecture landscape, driving impactful solutions in a thriving community.