ZipRecruiter

Log In

1

Data Solutions Architect Jobs in Michigan (NOW HIRING)

Next Step Systems

Data Architect

Farmington Hills, MI · On-site

$62.75 - $80.75/hr

Qualifications: - At least 10 years of hands-on experience in architecture, design or development of enterprise data solutions, applications, and integrations. - Minimum of 2 years experience in ...

Stem Xpert

Solution Data Architect/Manager

Detroit, MI · On-site

Data/Solution Architect Location Detroit MI Duration: 12 Months Qualifications Top Three Skills/Experience : 1. Experienced in Information (Solution/Data) Architecture concepts and architecting at ...

HTC Global Services

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

Design batch, streaming, CDC, and API-based integration solutions. * Architect ETL/ELT pipelines using dbt, Azure Data Factory, Apache Airflow, Informatica, Talend, and Fivetran. * Establish reusable ...

3B Staffing LLC

Data Architect

Saint Joseph, MI · On-site

$60.25 - $77.50/hr

At least 10 years of hands-on experience in architecture, design or development of enterprise data solutions, applications, and integrations * Knowledge of data architecture and design patterns and ...

3B Staffing LLC

Data Architect

Saint Joseph, MI · On-site

$60.25 - $77.50/hr

At least 10 years of hands-on experience in architecture, design or development of enterprise data solutions, applications, and integrations * Knowledge of data architecture and design patterns and ...

Convergence Networks

Solutions Architect

Lansing, MI · On-site

$66 - $96/hr

POSITION SUMMARY The Solutions Architect is responsible for providing project proposals and ... Interactions focus on data collection, problem solving, needs analysis and technical work.

Convergence-Networks

Solutions Architect

Lansing, MI · On-site

$110 - $150/hr

POSITION SUMMARYThe Solutions Architect is responsible for providing project proposals and ... Interactions focus on data collection, problem solving, needs analysis and technical work.

Ohio Health

$58.25 - $76.75/hr

... data, and infrastructure architectures Lead technical discovery t-shirt sizing activities, and ... Cloud Solution Architecture certification (AWS, Azure, or Google) Success Measures Solutions ...

KPMG LLP

Solutions Architect

Detroit, MI · On-site +1

$62.25 - $82.25/hr

... data stores and APIs • Collaborate with architects and product leaders to evaluate emerging technologies and translate them into scalable solution designs • Architect and implement AI/GenAI ...

Stonhard

$95K - $120K/yr

The Data Solutions Engineer is responsible for developing, maintaining, and enhancing enterprise ... Stay current on emerging technologies and best practices in data engineering and architecture.

next page

Showing results 1-20

All JobsData Solutions Architect JobsData Solutions Architect Jobs in Michigan

Data Solutions Architect information

See Michigan salary details

$9

$62

$82

How much do data solutions architect jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data solutions architect in Michigan is $62.08, according to ZipRecruiter salary data. Most workers in this role earn between $56.59 and $69.76 per hour, depending on experience, location, and employer.

What is a data solutions architect?

A Data Solutions Architect is a professional responsible for designing, building, and overseeing data solutions that support business needs. They create the technical blueprint for how data is collected, stored, integrated, and accessed across an organization. Their work involves choosing appropriate technologies, ensuring data quality and security, and aligning data systems with business goals. Data Solutions Architects often collaborate with data engineers, analysts, and other stakeholders to deliver scalable and efficient data infrastructures.

How do data solutions architects typically collaborate with cross-functional teams during large-scale data projects?

Data Solutions Architects play a pivotal role in bridging gaps between data engineers, business analysts, and stakeholders during large-scale projects. They translate business requirements into technical solutions, ensuring alignment between architecture strategies and organizational goals. Regular collaboration occurs through design sessions, code reviews, and project meetings, where they provide expertise on data modeling, integration, and system scalability. This collaborative environment helps ensure that data solutions are robust, scalable, and meet both technical and business needs.

What are the key skills and qualifications needed to thrive as a data solutions architect, and why are they important?

To thrive as a Data Solutions Architect, you need expertise in data modeling, database design, and systems integration, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), data warehousing tools, and relevant certifications like AWS Certified Solutions Architect are highly valuable. Strong problem-solving, communication, and stakeholder management skills help you translate business needs into scalable technical solutions. These skills ensure that data architectures are robust, secure, and aligned with organizational goals.

What is the difference between Data Solutions Architect vs Data Engineer?

AspectData Solutions ArchitectData Engineer
Required CredentialsBachelor's/Master's in CS, certifications like AWS, AzureBachelor's in CS, certifications like Hadoop, Spark
Work EnvironmentDesigning data solutions, collaborating with stakeholdersBuilding and maintaining data pipelines, coding
Employer & Industry UsageTech, finance, healthcare, consultingTech companies, data-driven organizations
Search & Comparison IntentUnderstanding strategic data roles, designing solutionsTechnical implementation, data pipeline development

The Data Solutions Architect focuses on designing comprehensive data solutions and aligning them with business needs, often working closely with stakeholders. In contrast, Data Engineers primarily build and maintain the data infrastructure and pipelines. Both roles require technical skills and certifications but differ in scope and responsibilities within data teams.

Are data solutions architects in high demand?

Data solutions architects are in high demand due to the increasing reliance on data-driven decision-making and digital transformation across industries. They typically require strong skills in cloud platforms, data modeling, and architecture design, making their expertise valuable in organizations seeking scalable data solutions.

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

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

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

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

What are popular job titles related to Data Solutions Architect jobs in MI?

For Data Solutions Architect jobs in MI, the most frequently searched job titles are:

Data Solutions Architect jobs near you
Infographic showing various Data Solutions Architect job openings in Michigan as of August 2026, with employment types broken down into 79% Full Time, 16% Part Time, and 5% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $129,133 per year, or $62.1 per hour.

Sr Data Warehouse Architect Solutions Architect

Dia Software Solutions

Lansing, MI • On-site

Other

Posted 2 days ago

New

Job description

Hi,

Greetings from DIA SOFTWARE SOLUTIONS LLC!

We reaching out about an exciting Direct client opportunity with one of our clients. Please review the requirements and let me know if you are interested in this position?

Direct client Req:: Need Sr Data Warehouse Architect Solutions Architect ,Hybrid ,MI

PLEASE SEND THE RESUMES TO SKUMAR AT DIASOFTWARESOLUTIONS DOT COM !

Job Description:

Data Warehouse Architect (Level 5) Solutions Architect

Required Skills (Must haves):

Minimum 5 years experience in leading Data Architects and working with Enterprise Architects to develop Data Landscape, Data Strategy, Data Architectural approache 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.

  • 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.
  • 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.
  • 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.

DIA SOFTWARE SOLUTIONS LLC.

VIDYA| DIA SOFTWARE SOLUTIONS LLC.

Direct: Eight Zero Four Two Zero Eight Zero One Seven Three

DIA SOFTWARE SOLUTIONS is an Affirmative Action/Equal Opportunity Employer that supports workplace diversity. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All Dia soft staff must be able to demonstrate the legal right to work in the United States. DIA SOFTWARE SOLUTIONS is an E-Verify employer

Apply