Data Platform Architect

Note: First round will be virtual; second round will be on-site and Hybrid Work Schedule.

Travel Requirement: Will sometimes drive from downtown Lansing to University of Michigan Campus. 20% travel. Candidates MUST be willing to do this.

Required Experience:

1. Minimum 5 years’ experience in leading Data Architects and working with Enterprise Architects to develop Data Landscape, Data Strategy, Data Architectural approaches using any industry standard Architecture framework such as TOGAF 9, FEAF, DODAF etc. to align data landscape with business, application and technology landscapes of an enterprise to support the implementation of data-driven business strategy.
2. Minimum of 5 years’ experience in developing Reference Architectures, Architecture Patterns Library, conducting Architectural Reviews to identify exceptions, and managing the architectural exceptions to ensure architectural integrity of Enterprise Data Platform in a large enterprise.
3. Minimum of 3 years’ experience in driving RFP process of selecting Data Platform Technologies, partnering with vendors to codevelop innovative EDP capabilities, driving EDP innovation, and promoting data-driven decision-making culture in the enterprise through Communities of Practice etc.
4. Must have a BS in Computer Science / Data Science / Information Systems or a related CS degree

Most Preferred Skills

Experience with Data Lake, Delta Lake, EDP, Data Warehousing, and Databricks

Other Preferred Skills and Job Description below

Key Programming Languages: SQL, Python, R, Java

Other Technologies, Concepts and Frameworks: TOGAF, Data Lake, Delta Lake, NoSQL DB, GraphDB, EDP, Data Warehousing, Data Marts, Databricks, Operational Data Stores, Power BI, Tableau