General Motors
Data Engineering Manager
Austin, Texas, United States of America +1 · Hybrid · Manager · Full-time · Posted Aug 10, 2026
- Location
- Austin, Texas, United States of America
Warren, Michigan, United States of America - Experience
- 7+ years in Data Engineering, Software Engineering, or production grade Distributed Data Platforms; 3+ years leading and managing data engineering or software engineering teams.
- Education
- Bachelor’s degree in computer science, Engineering, Information Systems, or related field.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role; applicants who need GM immigration sponsorship now or in the future should not apply.
About the job
Leads a data engineering team building and operating scalable, multi-cloud customer data platforms and products that support connected services, analytics, and AI applications.
What you'll do
- Lead, mentor, hire, and develop data engineers while managing team performance.
- Set technical direction and deliver cloud-native batch, streaming, API, and event-driven data products across multi-cloud Lakehouse architectures.
- Modernize platforms and enable governed AI-ready data, while improving reliability, performance, observability, and cost efficiency.
What they ask for
- 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.
Nice to have
- Experience with Databricks AI capabilities, such as MLflow, Mosaic AI, Delta Live Tables, Feature Store, Vector Search, or Genie Spaces.
- Experience building Customer 360, Marketing, Personalization, CDP, or Connected Services platforms.
Tools
Databricks, Apache Spark, Delta Lake, Unity Catalog, Python, SQL, Azure, AWS
AI focus
Build trusted, governed data products for predictive analytics, Generative AI, Agentic AI, RAG, vector search, and LLM-powered applications.
Model-written summary · the original posting is authoritative