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Staff Data Engineer – AI, Cloud
General MotorsStaff Data Engineer at GM leading data engineering initiatives and cloud architecture improvements. Designing scalable data solutions and enabling ML use cases across the enterprise.
Tech Stack
Tools & technologiesApacheAWSAzureCloudGoogle Cloud PlatformHadoopKafkaNoSQLPythonScalaSparkSQL
About the role
Key responsibilities & impact- A Staff Data Engineer operates as a recognized expert in data engineering with strong cross-functional visibility.
- Lead complex initiatives that improve GM’s data platforms, cloud architecture, and AI-enablement capabilities.
- Design and deliver scalable, secure, cloud-native data solutions.
- Build highly automated, performant pipelines.
- Enable advanced analytics and machine learning use cases across the enterprise.
- Design and evolve scalable, high-performance data architectures.
- Design ML models and enable AI/ML use cases.
- Lead the design and implementation of large-scale data pipelines and data architectures.
- Establish organization-wide best practices for data quality, lineage, observability, security, and CI/CD operations.
- Architect and optimize solutions on cloud platforms such as Azure, AWS, or GCP.
- Partner with data scientists, analysts, and executive stakeholders to translate complex business requirements into technical roadmaps.
- Mentor engineers and raise technical capability across the organization.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Systems, Data Science, Business Analytics, Engineering, or a related field; or equivalent experience.
- 8–10+ years in data engineering or related technical leadership roles
- Strong expertise in Python, SQL, Scala, or R with a focus on large-scale data processing, optimization, and performance tuning.
- Extensive experience with big data frameworks such as Azure Databricks, Apache Spark, Kafka, or Hadoop for large-scale data processing.
- Deep knowledge of cloud platforms and data services such as Azure, AWS, or GCP.
- Strong command of data modeling, relational and NoSQL databases, and scalable storage design.
- Strong understanding of data governance, privacy, and security controls for enterprise data systems.
- Demonstrated ability to lead large-scale technical initiatives and align engineering outcomes to broader business goals.
- Strategic thinking with the ability to align technical solutions to GM business priorities.
- Strong communication and stakeholder management across technical and non-technical audiences.
- Advanced problem solving, architectural judgment, and continuous learning mindset.
Benefits
Comp & perks- medical
- dental
- vision
- Health Savings Account
- Flexible Spending Accounts
- retirement savings plan
- sickness and accident benefits
- life insurance
- paid vacation & holidays
- tuition assistance programs
- employee assistance program
- GM vehicle discounts and more
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLScalaRdata processingdata modelingrelational databasesNoSQL databasesbig data frameworkscloud-native data solutions
Soft Skills
leadershipstrategic thinkingcommunicationstakeholder managementproblem solvingarchitectural judgmentmentoringcross-functional collaborationcontinuous learningtechnical capability enhancement