- Master’s Degree in Computer Science, Engineering, Information Systems, or a related field.
- 10+ years of experience delivering enterprise grade or global, scalable software applications, including data intensive or analytics focused solutions.
- Deep hands on experience with Databricks (Delta tables, notebooks, jobs, workflows) and/or Spark for data engineering, analytics, or AI workloads.
- Proven experience migrating applications and complex data workloads to Azure or other cloud platforms, including use of managed data, messaging, and API services.
- Experience working with or supporting AI/ML initiatives (e.g., feature engineering, model integration, AI/LLM service integration, monitoring, and ML Ops concepts).
- Knowledge of relational and dimensional data modeling, data quality practices, metadata management, and data governance in an enterprise environment.
- Experience with observability and reliability practices (logging, metrics, tracing, dashboards, alerting, SRE concepts) for data and application services.
- Demonstrated ability to influence technical direction, establish reusable patterns and standards, and mentor less experienced engineers.
- Ability to manage multiple initiatives and priorities in a fast-paced environment while maintaining high engineering standards.


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 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.