General Motors

Data Engineering Manager

General Motors • $130K — $155K *
Warren, MI 48089Hybrid
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor’s degree in computer science, Engineering, Information Systems, or related field.
  • 7+ years in Data Engineering or Software Engineering; experience with Distributed Data Platforms.
  • 3+ years in a leadership role managing data engineering or software engineering teams.
  • Expertise in Databricks, Apache Spark, Delta Lake, Unity Catalog, Python, and SQL.
  • Experience with cloud-native solutions in Azure, AWS, or GCP.
  • Strong understanding of data governance, modeling, and engineering best practices.
  • Familiarity with AI concepts including Generative AI and LLM applications.

Responsibilities

  • Lead and mentor a high-performing team of Data Engineers, focusing on performance and career development.
  • Define and execute the technical roadmap for data products across multiple platforms.
  • Architect and build scalable data pipelines using Databricks and other technologies.
  • Oversee delivery of data engineering initiatives from requirements to operational support.
  • Drive modernization from legacy systems to a cloud-native architecture.
  • Develop reusable data products for AI and predictive analytics.
  • Collaborate with various teams to ensure alignment on technical standards and business goals.

Benefits

  • Hybrid work environment with flexible reporting requirements.
  • Potential eligibility for relocation benefits.
Full Job Description

Job Description

About the Role

The Data Engineering Manager will lead a team of data engineers focused on building and operating Customer data platforms supporting OnStar, Connected Services, Customer, Marketing, Personalization, AI, and Advanced Analytics.

This is a highly technical leadership role responsible for building scalable, cloud-native data products across a multi-cloud Lakehouse architecture with a strong focus on Databricks, Distributed Data Processing, near Real-Time Streaming, AI/ML, and Generative AI. If you're passionate about distributed systems, Databricks, AI, cloud platforms, and building engineering organizations that move fast and innovate continuously, we'd love to meet you.

You are a technology leader who combines deep technical expertise with strong people leadership. You thrive in solving complex engineering challenges, embrace innovation, and are passionate about building scalable, AI-ready data platforms that power millions of connected customer experiences. Your ability to influence strategy, mentor engineers, and deliver modern data solutions will shape the future of GM's customer data ecosystem.

What You'll Do

  • Lead, mentor, and grow a high-performing team of Data Engineers, including performance management, career development, hiring and onboarding.
  • Define and execute the technical roadmap for Customer, Marketing, and OnStar\Digital data products, using cloud-agnostic, portable architecture that enable interoperability across Azure, GCP, AWS, and other platforms while supporting GM’s long-term multi-cloud strategy.
  • Architect, Design and build scalable batch, streaming, API, and event-driven data pipelines using Databricks, Apache Spark, Delta Lake, and Unity Catalog.
  • Own end-to-end delivery of data engineering initiatives from product requirements to operational support post deploy.
  • Drive modernization from legacy platforms to cloud-native, multi-cloud Lakehouse architectures.
  • Enable AI and Machine Learning by building trusted, reusable, and governed data products supporting predictive analytics, GenAI, and LLM applications.
  • Collaborate with architecture and platform teams to align reference architectures, standards, and reusable components.
  • Champion engineering excellence through CI/CD, Infrastructure as Code, Data Observability, automated testing, metadata management, and data quality.
  • Optimize platform performance, scalability, reliability, and cloud cost efficiency.
  • Collaborate with Business, Product, Marketing, Analytics, Security, and Architecture teams to deliver business outcomes and technical innovation.
  • Foster a culture of innovation, continuous learning, experimentation, and engineering excellence.

Your Skills & Abilities (Required Qualifications)

  • Bachelor’s degree in computer science, Engineering, Information Systems, or related field.
  • 7+ years of experience in Data Engineering, Software Engineering, or production grade Distributed Data Platforms.
  • 3+ years of proven experience leading and managing data engineering or software engineering teams.
  • Deep expertise with Databricks, Apache Spark, Delta Lake, Unity Catalog, Python, SQL, and modern Lakehouse architectures.
  • Experience designing cloud-native solutions across Azure, AWS, or GCP.
  • Strong understanding of data modeling, data governance, observability, security, and engineering best practices.
  • Experience with or exposure to AI-first engineering concepts, including Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), vector search, and LLM-powered applications.
  • Strong experience building large-scale distributed batch and streaming data pipelines.
  • Excellent leadership, communication, and stakeholder management skills, with the ability to translate business needs into technical solutions.

What Will Give You A Competitive Edge (Preferred Qualifications)

  • Experience with Databricks AI capabilities (MLflow, Mosaic AI, Delta Live Tables, Feature Store, Vector Search, Genie Spaces).
  • Experience building Customer 360, Marketing, Personalization, CDP, or Connected Services platforms.
  • Experience implementing DataOps/MLOps practices, including CI/CD pipelines and automated testing for data pipelines
  • Experience with streaming technologies such as Kafka or Azure Event Hubs.
  • Experience integrating with and working with data from Shopify, Heap, Adobe SDK and AppsFlyer
  • Knowledge of Data Mesh, Data Products, and modern cloud-native architecture patterns.
  • Knowledge of data privacy, security, and regulatory considerations for enterprise data
  • Experience operating critical data platforms with strong SLA’s and support processes.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

Keep Up to Date

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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