Job Title: Data Architect / Information Architect role)
Location- Remote (Dearborn MI)
Duration: Long term contract
Role Overview
This role sets the data architecture direction for enterprise and program-level initiatives. The person turns business needs into data models, standards, and roadmaps, and works with business sponsors, IT leaders, and project teams to keep solutions aligned with governance expectations. It is a hands-on data modeling and data quality role with an architecture and governance wrapper.
Expect heavy stakeholder facilitation and influence at senior levels. Hard-to-find skills are the combination of enterprise-level architecture leadership, GCP data platform experience (BigQuery, AlloyDB, Dataflow), and Master Data Management (MDM) knowledge.
Key Responsibilities
Translate business capabilities into data and information architecture, models, and clear project deliverables
Create and maintain data models using dedicated modeling tools across OLTP/RDBMS, data warehouse, and data mart environments
Define and approve data architecture principles, standards, guidelines, blueprints, and roadmaps
Lead architecture governance and make sure project teams follow established standards
Run architecture discussions with cross-functional business sponsors and product lines, and build buy-in from business and IT leaders
Define and implement data quality initiatives
Research and evaluate new architecture approaches, tools, and prototypes, including AI-assisted data engineering and modeling
Advise on strategy, prioritization, and portfolio planning
Required Qualifications
Experience:
10+ years in IT
5+ years in information/data architecture, data engineering, or advanced database design and modeling (OLTP/RDBMS, data warehouses, data marts)
4+ years of hands-on data modeling with modeling tools (e.g., Power Designer)
Experience defining and implementing data quality initiatives
Bachelor’s degree and/or certification program (see Section 10)
Technical Skills:
Data architecture, data modeling, data warehousing, data management
Data governance, data integrity, data analysis
Master Data Management (MDM) concepts and tools
Google Cloud Platform: BigQuery, AlloyDB, PostgreSQL, Cloud Run, MongoDB, Dataflow (hard to find as a combined set)
Working knowledge of AI capabilities applied to data engineering and modeling (hard to find)
5. Preferred Qualifications
Enterprise Architecture experience
.NET Core
PLM platform architecture experience, such as Siemens Teamcenter or Dassault 3DEXPERIENCE (hard to find)
Knowledge of TOGAF and the DAMA architecture framework and standards
Expertise in interoperability standards and methods
Proven leadership working with senior management on decision-making
Ability to run multiple projects at once and build work plans that resolve ambiguity and drive consensus
Certification program (education preference)
Data governance or MDM tool certifications (adjacent)
Automotive or manufacturing industry background (adjacent)