Data Architect Jobs in Michigan
Data Architect jobs in Michigan are in steady demand, with hiring concentrated in automotive technology, financial services, healthcare systems, and manufacturing analytics at levels from junior data engineer through principal architect. Detroit, Grand Rapids, and Ann Arbor are the primary hiring markets, where established employers like Ford Motor Company, Blue Cross Blue Shield of Michigan, and Rocket Companies maintain large data and analytics teams. The most sought-after specialties in Michigan listings include cloud data platform architecture, enterprise data governance, and real-time analytics pipeline design. Find a role that fits below and apply directly.
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Showing 5 of 16+ Data Architect jobs
Position: Sr Data & AI Architect
Location: Auburn Hills, MI - 48326 (3-Days Onsite)
Duration: 4+ Months Contract
Note: Only Locals
Job Description:
Senior Data & AI Solutions Architect
• Define end-to-end architecture for AI-powered data solutions, including intelligent agents, automation workflows, and multi-agent ecosystems across enterprise platforms.
• Define collaboration frameworks supporting sequential, parallel, event-driven, conditional, and human-in-the-loop interactions.
• Translate business requirements and operational workflows into scalable data and AI solutions, integration, security, deployment, and operational architectures.
• Provide technical leadership across Architecture, Engineering, Security, Data, and Operations teams, establishing standards, governance frameworks, and reusable patterns.
• Define security architecture — authentication, authorization, identity propagation, and governance controls across all interaction layers.
• Establish responsible AI guardrails covering data privacy, prompt security, model safety, compliance, and human approval workflows.
• Define enterprise data architecture, integration strategies, canonical data models, API standards, and knowledge management frameworks.
• Define RAG or comparable approaches enabling secure access to structured and unstructured enterprise data.
• Drive data privacy, integration, and management practices for seamless, governed accessibility across platforms.
Technical Experience
• 10+ years in Solution, Enterprise, Cloud, or Data Integration Architecture.
• Strong cloud architecture experience (AWS/Azure/GCP) and experience integrating enterprise platforms (CRM, ERP, ITSM, or similar).
• Experience with data structures, enterprise tools, cloud hyperscalers and platforms leveraging AI for data management and governance.
• Strong understanding of Agentic AI, Conversational AI, Generative AI, and multi-agent architectures.
• Deep knowledge of APIs, event-driven architecture, identity protocols, canonical data models, security, and observability.
• Ability to translate business objectives into scalable technical architecture and implementation roadmaps.
• Strong stakeholder management, documentation, and executive communication skills.
• Experience in Effective Application Development Project Implementation / Deployment strategies with a customer base distributed throughout the world.
• Experience in highly parallel work environments with projects utilizing iterative, agile, and waterfall approaches to achieve their objectives.
• Experience in both business transformation and information technology projects is required.
Unique Skills
• Technical knowledge with hands-on experience, managing application development
• Strong verbal and written communications skills, with an ability to express complex technical concepts in business terms
• Strong analytical, problem-solving, and conceptual skills
• Strong interpersonal skills; ability to communicate and persuade at all management levels and thrive in a cross-functional environment
Position: Sr Data & AI Architect
Location: Auburn Hills, MI - 48326 (3-Days Onsite)
Duration: 4+ Months Contract
Note: Only Locals
Job Description:
Senior Data & AI Solutions Architect
• Define end-to-end architecture for AI-powered data solutions, including intelligent agents, automation workflows, and multi-agent ecosystems across enterprise platforms.
• Define collaboration frameworks supporting sequential, parallel, event-driven, conditional, and human-in-the-loop interactions.
• Translate business requirements and operational workflows into scalable data and AI solutions, integration, security, deployment, and operational architectures.
• Provide technical leadership across Architecture, Engineering, Security, Data, and Operations teams, establishing standards, governance frameworks, and reusable patterns.
• Define security architecture — authentication, authorization, identity propagation, and governance controls across all interaction layers.
• Establish responsible AI guardrails covering data privacy, prompt security, model safety, compliance, and human approval workflows.
• Define enterprise data architecture, integration strategies, canonical data models, API standards, and knowledge management frameworks.
• Define RAG or comparable approaches enabling secure access to structured and unstructured enterprise data.
• Drive data privacy, integration, and management practices for seamless, governed accessibility across platforms.
Technical Experience
• 10+ years in Solution, Enterprise, Cloud, or Data Integration Architecture.
• Strong cloud architecture experience (AWS/Azure/GCP) and experience integrating enterprise platforms (CRM, ERP, ITSM, or similar).
• Experience with data structures, enterprise tools, cloud hyperscalers and platforms leveraging AI for data management and governance.
• Strong understanding of Agentic AI, Conversational AI, Generative AI, and multi-agent architectures.
• Deep knowledge of APIs, event-driven architecture, identity protocols, canonical data models, security, and observability.
• Ability to translate business objectives into scalable technical architecture and implementation roadmaps.
• Strong stakeholder management, documentation, and executive communication skills.
• Experience in Effective Application Development Project Implementation / Deployment strategies with a customer base distributed throughout the world.
• Experience in highly parallel work environments with projects utilizing iterative, agile, and waterfall approaches to achieve their objectives.
• Experience in both business transformation and information technology projects is required.
Unique Skills
• Technical knowledge with hands-on experience, managing application development
• Strong verbal and written communications skills, with an ability to express complex technical concepts in business terms
• Strong analytical, problem-solving, and conceptual skills
• Strong interpersonal skills; ability to communicate and persuade at all management levels and thrive in a cross-functional environment
See All 16 Data Architect Jobs in Michigan
Find roles in Michigan that match your experience and apply in just a few clicks.
Find Data Architect JobsData Architect Jobs by City in Michigan
Where Michigan roles are concentrated, by current openings.
Data Architect Job Market in Michigan
A snapshot from current Michigan openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Medical Devices
- Technology & Software
What Michigan Employers Look For
The qualifications that appear most often in data architect jobs across Michigan.
- Bachelor's degree in computer science, information systems, or a related technical field
- Proficiency with cloud platforms such as Azure, AWS, or Google Cloud and data warehousing tools
- Experience designing enterprise data models, data lakes, and ETL or ELT pipelines
- Strong command of SQL and at least one scripting language such as Python or Scala
- Familiarity with data governance frameworks, metadata management, and data quality standards
- Effective communication skills for translating complex data architecture to non-technical stakeholders
Data Architect Jobs in Michigan: Frequently Asked Questions
How do you become a data architect in Michigan?
A bachelor's degree in computer science, information systems, or a related field is the standard entry point for data architect roles in Michigan, and most employers expect several years of hands-on data engineering or database administration experience before hiring at the architect level. There is no state-issued license required to work as a data architect in Michigan. Earning vendor-neutral credentials such as CDMP or cloud certifications from Microsoft, AWS, or Google strengthens candidacy significantly with Michigan's automotive and healthcare employers.
Which companies hire data architects in Michigan?
Employers hiring data architects in Michigan right now include American business solutions, Aptiv, and Masco, based on current listings on Migrate Mate as of September 2026. Michigan's concentration of automotive, insurance, and healthcare headquarters means demand is particularly consistent at large, data-intensive organizations with complex enterprise environments.
Which Michigan cities have the most data architect jobs?
Lansing, Auburn Hills, and Troy are the Michigan cities with the most data architect openings, reflecting the concentration of major corporate headquarters, financial institutions, and health systems in the Detroit metropolitan area, while Grand Rapids draws demand from regional healthcare networks and growing technology employers, and Ann Arbor benefits from university-affiliated research organizations and a dense cluster of technology and analytics firms.
Are there remote data architect jobs in Michigan?
Yes, and more than most fields, since data architecture is fundamentally a desk-based, systems-design discipline that does not require physical presence. About 100% of data architect openings tied to Michigan are remote or hybrid as of September 2026, reflecting how broadly this role has been adopted for distributed team structures. Cloud platform work and enterprise data modeling are the parts of the role most frequently performed fully remotely.
How can I get hired as a data architect in Michigan with little or no experience?
The most realistic entry path is to first land a data engineer, database administrator, or business intelligence developer role at a Michigan employer and build toward architecture responsibilities from there. Large Michigan institutions such as Henry Ford Health, the University of Michigan, and automotive suppliers regularly hire for associate data engineering positions that serve as a practical foundation. Completing a cloud data certification from Microsoft or AWS and assembling a portfolio of data model or pipeline projects gives candidates without formal architecture titles a concrete edge in Michigan interviews.
Where can I find and apply to data architect jobs in Michigan?
You can find and apply to data architect jobs in Michigan on Migrate Mate, which lists current Michigan openings across industries. Find roles that fit your background and apply directly to the employers posting them.
See All 16 Data Architect Jobs in Michigan
Find roles in Michigan that match your experience and apply in just a few clicks.
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