Data Engineering Manager
Core
Lead a team of data engineers to build and operate scalable, cloud-native Customer data platforms supporting OnStar, Connected Services, Marketing, and AI/ML initiatives.
Role type
Senior IC Data Engineering Manager (Technical Leadership)
Builds
Scalable batch, streaming, and event-driven data pipelines; multi-cloud Lakehouse architectures; AI-ready data products.
Domain
Automotive (GM) + Distributed Data Systems + Cloud Native + AI/ML
Deliverable
production ML models | product features | infrastructure
Required skills
Team leadership and mentorship, Technical roadmap definition, Cloud-agnostic architecture design, Distributed batch and streaming pipeline architecture, Data governance and observability, AI/ML platform enablement, CI/CD and Infrastructure as Code, Cloud cost optimization, Stakeholder collaboration
Preferred skills
Databricks AI capabilities (MLflow, Mosaic AI, Delta Live Tables), Customer 360/CDP platform experience, DataOps/MLOps implementation, Streaming technologies (Kafka, Event Hubs), Data Mesh patterns, Enterprise data security and privacy
Technologies
Databricks, Apache Spark, Delta Lake, Unity Catalog, Python, SQL, Azure, AWS, GCP, Kafka, Azure Event Hubs
Responsibilities
Lead, mentor, and grow a high-performing data engineering team; Define and execute technical roadmap for Customer and Marketing data products; Architect scalable data pipelines using Databricks and Spark; Drive modernization from legacy to cloud-native Lakehouse; Enable AI/ML by building governed data products; Champion engineering excellence through CI/CD and data quality; Optimize platform performance and cloud cost efficiency.
Seniority
Senior, hands-on IC with management responsibilities