Data Architect / Information Architect

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)