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Director Data Engineering Jobs in Michigan (NOW HIRING)

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data engineering exposure: pipelines, transformations, data modeling concepts, and working with ... Ability to influence across teams without direct authority; strong facilitation and conflict ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

Data Engineer - Senior Manager

Grand Rapids, MI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

Data & AI Technology Sales Director

Detroit, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of 2 years' experience in direct sales, preferably with quota of $10M * Proven ability to ... Strong Ecosystem selling experience with AI led Data engineering transformational programs. What ...

Data & AI Technology Sales Director

Detroit, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of 2 years' experience in direct sales, preferably with quota of $10M * Proven ability to ... Strong Ecosystem selling experience with AI led Data engineering transformational programs. What ...

Showing results 21-40

Director Data Engineering information

See Michigan salary details

$63.6K

$169.7K

$221.4K

How much do director data engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for director data engineering in Michigan is $169,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $220,500.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What are the most commonly searched types of Data Engineering jobs in Michigan?

The most popular types of Data Engineering jobs in Michigan are:

What are popular job titles related to Director Data Engineering jobs in Michigan?

For Director Data Engineering jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Director Data Engineering jobs?

Cities in Michigan with the most Director Data Engineering job openings:

Infographic showing various Director Data Engineering job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $169,708 per year, or $81.6 per hour.

Director, Data Solutions & Analytics Platform (Novi)

Lineage

Novi, MI • On-site

Full-time

Posted 14 days ago


Job description

Lineage in Novi, MI is seeking a Director of Product Management to lead its Data Solutions portfolio—central data repositories, KPI tools, and analytics products. You will own strategy, ensure data trust, and drive adoption across functions and regions.

You will manage a team of PMs and business analysts, partner with data engineering and enterprise architecture, and collaborate with executives to translate business needs into scalable, data-driven capabilities, including AI-enabled initiatives.

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