Data Warehouse Architect

Title: Data Warehouse Architect 5 - Solutions Architect

Location: 320 S. Walnut St. Lansing, MI 48933

Interview Process. Virtual and In-person. First round will be virtual, second round will be on-site

Assignment Duration: 1yr+

Open to local candidates or those willing to relocate BUT they must relocate from day one AND they must come on-site for 2nd round interview.

Job Description :

Data Platform Architect / Datawarehouse Architect (Level 5) excels in tracking emerging industry capabilities for modern Data Platforms, developing target state Data Platform Architecture, and architecting Data, Analytics, and ML Products that are aligned with the enterprise data strategy, data landscape, data skills, data security, and data sharing needs to support the realization of enterprise Business Strategy outcomes. Designs, implements, and supports data warehouse and analytics platform modernization initiatives.

Required Skills (Must haves):

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