Data Engineering Manager

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 youre passionate about distributed systems Databricks AI cloud platforms and building engineering organizations that move fast and innovate continuously wed 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 GMs customer data ecosystem.

What Youll 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 OnStarDigital data products using cloud-agnostic portable architecture that enable interoperability across Azure GCP AWS and other platforms while supporting GMs 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)

• Bachelors 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 SLAs and support processes.

About GM

Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment email us or call your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.