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Data Analytics Architect Jobs in Michigan (NOW HIRING)

Select Minds LLC

Data Architect II

Lansing, MI · On-site

$55 - $60/hr

This role will partner with business and IT stakeholders to deliver scalable data architecture, Master Data Management (MDM), Data Warehouse (DW), reporting, and analytics solutions. Required Skills ...

Converys

Data Architect

East Lansing, MI · On-site

$105K - $143K/yr

Develop canonical and semantic data models to support analytics, reporting, and operational use ... Provide architectural oversight for major data initiatives across the enterprise. * Support ...

3B Staffing LLC

Data Architect

Saint Joseph, MI · On-site

$60.25 - $77.50/hr

... cycle: analyze/profile data, create conceptual, logical & physical data model designs, architect and design ETL, reporting and analytics solutions o Architect and design data solutions for P&C ...

3B Staffing LLC

Data Architect

Saint Joseph, MI · On-site

$60.25 - $77.50/hr

... cycle: analyze/profile data, create conceptual, logical & physical data model designs, architect and design ETL, reporting and analytics solutions o Architect and design data solutions for P&C ...

Prophecy Technologies

Data Architect

Auburn Hills, MI · On-site

$60.25 - $77.50/hr

Data Architect (Senior Candidate) Location: Auburn Hills, MI 48326 3 days onsite Position ... Strong working knowledge of different analysis tools and techniques. Demonstrated analytical ...

Next Step Systems

Data Architect

Farmington Hills, MI · On-site

$62.75 - $80.75/hr

... analyze/profile data, create conceptual, logical & physical data model designs, architect and design ETL, reporting and analytics solutions. - Architect and design data solutions for insurance, healt ...

Delan Associates, Inc.

Data Architect

Auburn Hills, MI · On-site +1

$60.25 - $77.50/hr

Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects. Strong SQL skills. Functions Performed This individual may be ...

Delan Associates, Inc

Data Architect

Auburn Hills, MI · On-site +1

$60.25 - $77.50/hr

Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects. Strong SQL skills. Functions Performed This individual may be ...

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Showing results 41-60

All JobsData Analytics Architect JobsData Analytics Architect Jobs in Michigan

Data Analytics Architect information

See Michigan salary details

$133.4K

$155.8K

$176.1K

How much do data analytics architect jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analytics architect in Michigan is $155,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,200.00 and $166,900.00 per year, depending on experience, location, and employer.

What is a data analytics architect?

A Data Analytics Architect designs and implements data infrastructure, ensuring efficient data processing, storage, and analysis to support business intelligence and decision-making. They work with data engineers, analysts, and stakeholders to create scalable data solutions and optimize system performance. Their role involves selecting technologies, defining data models, and ensuring data security and governance.

What are the key skills and qualifications needed to thrive as a data analytics architect?

A Data Analytics Architect requires strong expertise in data modeling, analytics platforms, and database management, often backed by a degree in computer science, information systems, or a related field. Familiarity with tools like SQL, Python, Spark, and cloud services (AWS, Azure, Google Cloud), along with certifications such as AWS Certified Data Analytics or Google Professional Data Engineer, is highly beneficial. Excellent problem-solving skills, communication abilities, and the capacity to collaborate across multidisciplinary teams distinguish top performers. These competencies are vital for designing effective analytics solutions, ensuring data integrity, and translating business needs into actionable data strategies.

What are the typical career advancement opportunities for a data analytics architect?

Data Analytics Architects often find excellent career growth opportunities within organizations, as their expertise in designing data frameworks is highly valued. With experience, many progress to senior or principal architect roles, chief data officer positions, or transition into broader leadership roles in data engineering or analytics strategy. Continuous learning and staying updated with emerging technologies, such as machine learning platforms and cloud-based analytics, also open doors to specialized roles. Working in this position exposes professionals to both technical challenges and business strategy, setting a strong foundation for advancement.

What are popular job titles related to Data Analytics Architect jobs in Michigan?

For Data Analytics Architect jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Analytics Architect jobs in Michigan look for?

The top searched job categories for Data Analytics Architect jobs in Michigan are:

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Data Analytics Architect jobs near you
Infographic showing various Data Analytics Architect job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $155,797 per year, or $74.9 per hour.

Data/Enterprise Architect (Hybrid - Onsite interviews)

Cleo Consulting Inc.

Lansing, MI • On-site

Other

Posted 3 days ago

New

Job description

Client: State of MI
Job ID: 165331
Job Title: Lansing, MI - IT - Agency Services - DHHS - N/A - Data Warehouse Architect 5 - Solutions Architect
Job Title: Data Warehouse Architect 5
Job Location: 320 S. Walnut St., Lansing, MI, 48933
Projected Start Date: 10/05/2026
Projected End Date/Duration: 11/04/2027 with possible extension based on performance and business needs
Interview Process: Virtual and In-person. First round will be virtual second round will be on-site. Mix of technical and soft skills. For the virtual round it will be a 60-minute Virtual Interview via MS Teams (video required). Candidates should join from a laptop and be prepared to share their screen if requested. A screenshot photo of candidate will be required for any interviews as well as a vendor present at beginning of virtual interview to validate candidate.
Assignment Duration: 1yr+ contract dependent on business need
Hybrid Work Schedule (non-negotiable): There is NO remote-only option. Wednesdays and Thursdays are required on-site days (non-negotiable)
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. Candidates not willing to do this will not be considered.
Travel Requirement: Will sometimes drive from downtown Lansing to University of Michigan Campus. 20% travel. Candidates MUST be willing to do this.
References: Candidates must provide 2 Professional references. Please attach them to the bid in a separate document.
Candidates MUST meet all these requirements from the beginning

The following are required for bid submission:

  • Resume
  • R2R
  • References
  • Cover Sheet

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

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

Job Description:

  • Data Platform Architect / Datawarehouse Architect (Level 5) excels in tracking emerging industry capabilities for modern Enterprise Data Platform (EDP), 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 with the following track record:
  • Must have a BS in Computer Science / Data Science / Information Systems or a related CS degree with an overall 5+ years of experience in developing Enterprise Data Technology Strategies, articulating the use of the Data Engineering Delivery Methodologies, building the Data Engineering Standards & Best Practices to ensure alignment of Data/Analytics/ML Products with the Target State Architecture, and promoting the use of the Data Engineering products in the community of Users using industry standard Enterprise Architecture frameworks such as TOGAF, FEAF, DODAF etc.
  • Must have Demonstrated expertise in driving innovation related to modern data technology platforms through conducting Proofs of Concepts, Codathon, and Co-development with technology vendors, to fully comprehend the business capabilities feasible from emerging technologies to design effective Proofs of Concepts and lead the execution of POCs in the enterprise to support technology decision making in the enterprise.
  • Must have experience in the full technology stack within an Enterprise Data Platform offering of any CSP to help an enterprise set up the initial fully functioning instance of an EDP containing all the required tools to enable the Data Engineering team in conducting Proofs of Concepts and operationalizing the Product Environment for the delivery of Data Engineering products including Data/Analytics/ML pipelines.
  • Must have demonstrated experience in driving the procurement process (RFI/RFP etc.) in a large enterprise to select the Cloud Service Provider vendor for building and hosting the EDP.
  • Must have demonstrated experience in architecting Data Services Portfolio and Data Products that are aligned with the industry best practices and internal data engineering capabilities.
  • Must have demonstrated expertise in baking in the Data Governance standards and best practices into the development and usage of the Data Engineering Products including the Data/Analytics/ML pipelines and Data/Analytics/ML Products.
  • Must have demonstrated experience in enforcing the adherence to the implementation of Data Security Standards and Best Practices into the Data Engineering Products including Data/Analytics/ML Products and Data Pipelines to minimize data security vulnerabilities.

Roles and Responsibilities:

  • 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 MDHHS data warehouse and analytics platform modernization initiatives. Recommends and leads State of Michigan teams in adopting emerging cloud-based data services, analytical tools, and other modern technologies. Oversees the organizational sustainability of data warehouse and data analytics process improvement. The Data Platform Architect’s responsibilities include:
    • Design and maintain the overall architecture for enterprise data platforms, ensuring scalability, reliability, and alignment with business objectives.
    • Oversee the implementation of modern data platform components, such as storage, streaming, and orchestration services, and ensure they function cohesively.
    • Establish governance frameworks for data quality, security, metadata management, and compliance with organizational and regulatory requirements.
    • Collaborate with engineering, analytics, security, and business teams to translate strategic needs into technical solutions and roadmap initiatives.
    • Responsible for selection of appropriate hardware, software, tools and system lifecycle techniques for different components of data warehouse architecture including ETL, Metadata, data profiling software, performance monitoring, reporting and analytic tools.

Highly Desired:

  • Desirable to have demonstrated experience in Supporting the enterprise in ensuring that all the Data Engineering efforts such as POCs, early implementations, and technology refresh of legacy systems etc. are aligned to help the Data Engineering team stay focused on systematically building and maturing the required technical and delivery capabilities
  • Desirable to have experience in tracking the Architectural adherence of Data Engineering Products and Pipelines to the Enterprise Architecture Standards and Best Practices and supporting the Data Engineering team to systematically enhance their capability maturity in delivering high-quality Data Engineering Products.

“Cleo Consulting is an equal opportunity employer (Minorities/Women/Veterans/Disabled)”

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