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Platform Architect Jobs in Michigan (NOW HIRING)

Minimum of 3 years experience in driving RFP process of selecting Data Platform Technologies ... Data Platform Architect / Datawarehouse Architect (Level 5) excels in tracking emerging industry ...

Data Warehouse Architect - (Local to MI)

Lansing, MI · On-site

$64.75 - $83.25/hr

Data Platform Architect / Datawarehouse Architect (Level 5) excels in tracking emerging industry capabilities for modern Data Platforms, developing target state Data Platform Architecture, and ...

New

Lansing, MI Duration: 6 Months Need only locals Hybrid Key Responsibilities Data Platform Architect / Datawarehouse Architect (Level 5) excels in tracking emerging industry capabilities for modern ...

To be the coach for translating business requirements into platform architecture hardware, SoCs and other components to support a scalable system solution * To drive the Design, development, and ...

Concept Architect, Platform

Novi, MI · On-site

$130K - $160K/yr

Critically review available technical systems and propose an engineering improvement &/or customer experience Develop the concept architecture and vehicle integration for the scalable platform.

To drive the Design, development, and analysis of overall platform architecture and partitioning of features onto efficient hardware to meet use cases and workloads in terms of performance ...

These platforms combine embedded software, sensing, connectivity, autonomy, safety-critical systems, and cloud-connected architectures to enable reliable operation in demanding real-world ...

Showing results 21-40

Platform Architect information

See Michigan salary details

$42

$66

$84

How much do platform architect jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for platform architect in Michigan is $66.40, according to ZipRecruiter salary data. Most workers in this role earn between $60.14 and $74.18 per hour, depending on experience, location, and employer.

What is a platform architect?

A Platform Architect is a technology professional responsible for designing and overseeing the structure and integration of complex software platforms within an organization. They ensure that the platform’s architecture supports current and future business requirements, scalability, security, and interoperability. Platform Architects collaborate with development, operations, and business teams to create robust solutions that align with organizational goals. Their role often involves selecting appropriate technologies, defining standards, and guiding the technical direction of platform development.

How does a platform architect typically collaborate with development and operations teams during a project lifecycle?

Platform Architects work closely with both development and operations teams to ensure that the architectural design aligns with project requirements and organizational goals. They often facilitate communication between these teams, translating business needs into technical solutions and guiding best practices for scalability, security, and maintainability. Regular meetings, design reviews, and documentation are common, and Platform Architects may also support DevOps initiatives by helping to automate deployment pipelines or optimize cloud infrastructure. This collaborative approach ensures that platforms are robust, efficient, and adaptable to change.

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

To thrive as a Platform Architect, you need deep expertise in systems architecture, cloud computing, and software engineering principles, often backed by a degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), containerization tools (like Docker and Kubernetes), and relevant certifications (e.g., AWS Certified Solutions Architect) is highly valued. Strong problem-solving, leadership, and communication skills help coordinate cross-functional teams and translate business requirements into technical solutions. These skills are crucial for designing scalable, reliable platforms that support organizational growth and innovation.

What is the difference between Platform Architect vs Cloud Engineer?

AspectPlatform ArchitectCloud Engineer
Required CredentialsTypically requires certifications like TOGAF, AWS, Azure, or Google Cloud; strong understanding of architecture frameworksOften holds certifications such as AWS Certified Solutions Architect, Azure Solutions Architect, or Google Cloud Professional Cloud Architect
Work EnvironmentDesigns and oversees overall platform architecture, collaborating with development and operations teamsBuilds, deploys, and manages cloud-based solutions, focusing on implementation and operational tasks
Employer & Industry UsageUsed in large enterprises, tech companies, and organizations with complex infrastructure needsCommon in startups, tech firms, and organizations migrating to or managing cloud environments

While both roles involve cloud and infrastructure expertise, a Platform Architect focuses on designing the overall platform architecture, ensuring scalability and integration. In contrast, a Cloud Engineer implements and manages cloud solutions based on the architecture designed by the Platform Architect.

How much do platform architects make?

Platform architects typically earn between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and system design can earn higher salaries, often exceeding $180,000.

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

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

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

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

Infographic showing various Platform Architect job openings in Michigan as of August 2026, with employment types broken down into 53% Full Time, 45% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $138,117 per year, or $66.4 per hour.

Data Warehouse Architect

Masterapp Labs

Lansing, MI • On-site

Other

Posted 25 days ago


Job description

Job Title: Data Warehouse Architect
Location: Lansing, MI, (Hybrid)- Wednesdays and Thursdays are required on-site days (non-negotiable)
Position Type: Contract
Interview Mode: 1st round MS Teams & 2nd round In-person

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.

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:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.