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Lead Data Engineer Jobs in Michigan (NOW HIRING)

Stefanini Group

GCP Data Engineer

Dearborn, MI

Lead adoption of Gemini Enterprise for query generation, debugging, and schema optimization ... Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

Lead adoption of Gemini Enterprise for query generation, debugging, and schema optimization ... Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first ...

Stefanini Group

GCP Data Engineer

Dearborn, MI

Lead adoption of Gemini Enterprise for query generation, debugging, and schema optimization ... Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first ...

Rocket Limited Partnership

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data ... Lead code review sessions with a focus on performance, scalability, and maintainability * Work in a ...

Rock Connections

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data ... Lead code review sessions with a focus on performance, scalability, and maintainability * Work in a ...

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Lead the creation, maintenance, and optimization of advanced ETL/ELT processes and data pipelines ... Expert proficiency in programming languages such as Python or Scala.Advanced SQL skills for complex ...

Stefanini Group

GCP Data Engineer

Dearborn, MI

Lead adoption of Gemini Enterprise for query generation, debugging, and schema optimization ... Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first ...

Constellium

Industrial Data Engineer

Van Buren Township, MI · On-site

$65K - $88K/yr

The Industrial Data Engineer will lead engineering data activities related to change management, document control, downtime analysis and capital project facilitation (FEL process) across our North ...

Constellium

Industrial Data Engineer

Plymouth, MI

$66K - $90K/yr

The Industrial Data Engineer will lead engineering data activities related to change management, document control, downtime analysis and capital project facilitation (FEL process) across our North ...

Contemporary Amperex Technology Kentucky LLC

$103K - $124K/yr

Lead or support the development of local/national applications that facilitate data sharing and ... Collaborate with FPS Champions, Engineering, Operations, and IT to align solutions with ...

Constellium Deutschland GmbH

MI · On-site

$90 - $130/hr

Job Summary The Industrial Data Engineer will lead engineering data activities related to change management, document control, downtime analysis and capital project facilitation (FEL process) across ...

New

Expeditors

Data Engineer III/Senior (Analytics)

Romulus, MI · On-site

$102K - $138K/yr

This role sits within the engineering discipline and works closely with product teams, platform ... Lead the development of enterprise data models, semantic layers, analytics solutions, and reporting ...

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Showing results 41-60

All JobsLead Data Engineer JobsLead Data Engineer Jobs in Michigan

Lead Data Engineer information

See Michigan salary details

$37K

$107.9K

$157.3K

How much do lead data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for lead data engineer in Michigan is $107,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $117,700.00 per year, depending on experience, location, and employer.

What is a lead data engineer?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.

What are the key skills and qualifications needed to thrive as a lead data engineer?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

How does a lead data engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

What is the difference between Lead Data Engineer vs Data Engineer?

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

What are popular job titles related to Lead Data Engineer jobs in Michigan?

For Lead Data Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Lead Data Engineer jobs in Michigan look for?

The top searched job categories for Lead Data Engineer jobs in Michigan are:

Lead Data Engineer jobs near you
Infographic showing various Lead Data Engineer 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 $107,890 per year, or $51.9 per hour.

Data - Platform Manager

Harman International Industries

Novi, MI • On-site

Full-time

Re-posted 9 days ago

Job description

A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you'll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.
Introduction: A Career at HARMAN Automotive
We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
  • Engineer audio systems and integrated technology platforms that augment the driving experience
  • Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
  • Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role
We are looking for a Data Platform Manager to lead the development, operation, and continuous improvement of our enterprise Data & Analytics platform. This role is responsible for enabling data product teams, analysts, engineers, and business users to deliver high-quality data and analytics solutions efficiently, securely, and at scale.
You will manage the platform capabilities, tooling, standards, and operating model that support modern data delivery, including cloud data platforms, data engineering environments, analytics workspaces, CI/CD, automated testing, monitoring, governance, and self-service capabilities.
The role combines a strong technical understanding of modern data platforms with leadership, stakeholder management, product-oriented thinking, and the ability to manage a team of up to 5 platform engineers.
What You Will Do
  • Own the roadmap for the enterprise Data & Analytics platform, ensuring alignment with business priorities, data strategy, architecture standards, and security requirements.
  • Define and manage platform capabilities that enable data product teams to build, test, deploy, monitor, and operate data solutions efficiently.
  • Partner with data engineering, analytics, architecture, security, infrastructure, transformation and business teams to continuously improve the platform experience for developers as well as end users.
  • Act as the product owner or service owner for D&A platform services, balancing feature development, operational reliability, cost management, and user needs
  • Manage the D&A platform like a product-clear roadmap, backlog, users, and measurable outcomes; balance speed, stability, cost, and experience.
  • E2E Platform operations ownership - Manage incidents, changes, SLAs, and ensure reliability at scale.
  • Oversee platform support processes, incident management, service requests, change management, and operational monitoring.
  • Lead the development of automated provisioning capabilities for D&A workspaces, environments, data product teams, and project resources.
  • Apply a cost & value mindset to optimize Fabric capacity, Databricks usage, and overall platform cost vs. value.
  • Develop platform capabilities that help data engineering and analytics teams work more efficiently, including automated testing, CI/CD pipelines, deployment automation, code quality checks, and reusable templates.
  • Ensure the platform supports data governance, access control, privacy, security, lineage, metadata management, and compliance requirements.
  • Lead, coach, and develop a team of platform engineers, DevOps specialists, and support analysts, target users of the platform.

What You Need to Be Successful
  • 7+ years of experience in managing or leading Data & Analytics platforms, data engineering platforms, cloud platforms, or related technology services.
  • Strong understanding of modern data architecture, including data lakes, data warehouses, lakehouses, data pipelines, orchestration, and analytics tooling.
  • Experience with MS Azure / MS Fabric cloud platforms and services.
  • Experience with DevOps, DataOps, CI/CD (Azure DevOps / GitHub Actions), infrastructure-as-code, automated testing, deployment automation, and monitoring practices.
  • Familiarity with OneLake architecture, workspace topology, and capacity (F-SKU) planning, Data loading patterns and orchestration processes
  • Familiarity with data platform technologies such as Databricks, Snowflake, BigQuery, Synapse, Redshift, dbt, Airflow, Azure Data Factory, Kafka, or similar tools.
  • Understanding of data governance, security, access management, metadata, lineage, and compliance principles.
  • Strong stakeholder management, communication, prioritization, and problem-solving skills.
  • Experience working with agile delivery methods and product management practices.

Bonus Points if You Have
  • Previous experience as a Data Platform Manager, Analytics Platform Lead, Data Engineering Manager, DataOps Lead, Cloud Platform Manager, or similar role.
  • Experience implementing self-service platform capabilities for data teams.
  • Experience with workspace or environment provisioning, role-based access control, and cloud cost management.
  • Knowledge of software engineering best practices applied to data and analytics delivery.
  • Experience managing vendors, platform budgets, licenses, and service-level agreements.
  • Experience leading teams in a matrixed or enterprise environment.
  • Experience with Delta Lake with ACID transactions, Cluster management, job configuration, Spark tuning and Unity Catalog
  • Working understanding of Databricks Repos, Bundles, and asset deployment patterns
  • Familiarity of MLflow, Feature Store, and AutoML
  • Relevant certifications in cloud, data engineering, architecture, agile, or IT service management are a plus.

What Makes You Eligible
  • Ability to work from an office in Novi, MI, 3+ days per week (hybrid)
  • Successfully complete a background investigation and drug screen as a condition of employment

What We Offer
  • Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
  • Extensive training opportunities through our own HARMAN University
  • Competitive wellness benefits
  • Tuition reimbursement
  • "Be Brilliant" employee recognition and rewards program
  • An inclusive and diverse work environment that fosters and encourages professional and personal development

#LI-AA1
Salary Ranges:
$ 125,250 - $ 183,700
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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