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Data Platform Engineer Jobs in Michigan (NOW HIRING)

FastTek

Platform Engineer

Dearborn, MI

Platform Engineer #1058624 * We are seeking a highly motivated full stack developer to join our ... Big Data Skills Preferred: * Design and Build Data Pipelines: Architect, develop, and maintain ...

Apex Systems

AI Engineer

Dearborn, MI · On-site

We are seeking a Senior AI Platform Engineer to design, build, and scale next-generation AI solutions for an Enterprise Data Platform on Google Cloud Platform (Google Cloud Platform). This is a ...

FastTek

Platform Engineer

Dearborn, MI

Platform Engineer #1058373 Position Description: The Power Platform & Copilot Studio Administrator ... This role owns tenant governance, environment strategy, Data Loss Prevention (DLP), license ...

Tech Tammina LLC

Power Platform Engineer

Lansing, MI · On-site

Role: Power Platform Engineer Location: Lansing, MI (Hybrid: Onsite Tuesdays and Wednesdays ... Data & Application Management: * Design and manage data models, data flows, integrations, and ...

Ford Motor Company

ALM Platform Engineer

Dearborn, MI · On-site

Plan and execute data migrations, cleanup, and standardization efforts (field normalization ... engineering solutions around an ALM/requirements/test/issue platform. * Hands-on experience with at ...

Ford Motor Company

ALM Platform Engineer

Dearborn, MI · Hybrid

$86K - $144K/yr

... engineering solutions around an ALM/requirements/test/issue platform. * Hands-on experience with at ... data exchange. * 3-5 years' experience with Intermediate scripting experience (Python preferred ...

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All JobsData Platform Engineer JobsData Platform Engineer Jobs in Michigan

Data Platform Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do data platform engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data platform engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data platform engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What is a data platform engineer?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a data platform engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the most commonly searched types of Data Platform Engineer jobs in Michigan? The most popular types of Data Platform Engineer jobs in Michigan are:
What are popular job titles related to Data Platform Engineer jobs in Michigan? For Data Platform Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Platform Engineer jobs in Michigan look for? The top searched job categories for Data Platform Engineer jobs in Michigan are:
Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Snowflake Administrator / Data Platform Engineer

TechYantram Solutions

Novi, MI • On-site

Other

Posted 28 days ago

Job description

Snowflake Administrator / Data Platform EngineerIntroduction

As a Snowflake Administrator / Data Platform Engineer, you will be responsible for managing and optimizing our Snowflake data platform in a cloud environment. You will work closely with the data engineering team to ensure the platform is running efficiently and effectively to support our data-driven initiatives.

Responsibilities
  • Manage and optimize the Snowflake data platform to ensure high performance and reliability
  • Implement and maintain data pipelines, ETL processes, and data workflows
  • Collaborate with data engineers to design and implement data models
  • Monitor and troubleshoot platform issues, ensuring system availability and data integrity
  • Implement and manage security protocols such as RBAC, SSO, and SCIM
  • Work with cloud services such as Azure to integrate data platform with other systems
  • Stay current on industry best practices and technologies to continuously improve the platform
RequirementsRequired Skills
  • Experience working with Snowflake data platform
  • Strong understanding of data platform architecture and best practices
  • Knowledge of cloud services, particularly Azure
  • Experience with data fabric and data governance
  • Proficiency in implementing security measures such as RBAC, SSO, and SCIM
Preferred Skills
  • Experience with other cloud platforms such as AWS or Google Cloud Platform
  • Certifications in Snowflake or related technologies
  • Experience working in a data-intensive environment
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities

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