Senior Manager, Data Engineering – Motorsports

🔥 13 hours ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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General Motors

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1908

🚘 Automotive

🏭 Manufacturing

🚗 Transport

💰 $500M Grant on 2024-07

Automotive • Manufacturing • Transport

General Motors is a leading multinational corporation in the automotive industry, committed to creating a future with zero crashes, zero emissions, and zero congestion. With operations and facilities worldwide, GM focuses on innovation across various areas including engineering, manufacturing, and information technology. The company emphasizes diversity, inclusion, and the development of sustainable technologies to shape the future of mobility.

📋 Description

• Lead the Motorsports Data Infrastructure and Data Science managers and their teams • Integrate data engineering, software, and data science into one roadmap and operating model • Architect pipelines and platforms, prototype ML and GenAI solutions, review code, and support critical issues during race weekends • Own the motorsports data platform roadmap covering ingestion, streaming, lakehouse, governance, and AI/ML enablement • Unify real-time and batch data pipelines processing telemetry, timing and scoring, and trackside data • Lead productionization of ML models across race programs using MLflow-based MLOps • Drive adoption of AI coding tools, assistant platforms, and software development best practices • Set engineering standards for CI/CD, Terraform, automated testing, data quality, observability, and SLOs • Protect competition-sensitive data through security, access control, and IP safeguards • Manage Azure and Databricks cost and capacity, vendor relationships, and partner relationships • Communicate strategy, progress, and trade-offs to Motorsports and GM senior leadership • Partner with Competition Engineering, Vehicle Performance, Race Strategy, and technical partners to deliver customer-facing features

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field • 10+ years in data engineering, software engineering, or data science, delivering production distributed data platforms • 5+ years leading engineering or data science teams, including managing managers, while remaining an active technical contributor • Deep expertise with Azure Databricks, including Spark, Delta Lake, Unity Catalog, Workflows/DLT • Expertise with Azure data services, including ADLS, Event Hubs, AKS, and Key Vault • Proven record of taking ML/AI into production, including feature engineering, model lifecycle, MLOps, and monitoring • Experience with real-time streaming and high-frequency time-series data • Strong Python and SQL skills • Experience with CI/CD, Git, and infrastructure-as-code • Ability to deliver under hard, deadline-driven schedules and explain complex topics to engineering and executive audiences • GM does not provide immigration-related sponsorship for this role; applicants must not require GM immigration sponsorship now or in the future • Preferred: Experience leading both software/data engineering and data science functions • Preferred: Experience with motorsports, automotive, or high-performance engineering data • Preferred: Experience with Databricks AI capabilities, including Mosaic AI, Vector Search, Feature Store, Model Serving, and Genie • Preferred: GenAI/LLM application experience, including RAG, agents, and evaluation • Preferred: Experience with cloud architectures in low-latency or bandwidth-constrained environments • Preferred: Experience standing up new programs or scaling teams through rapid growth

🏖️ Benefits

• Relocation benefits are available for candidates who qualify under company policy • Benefits supporting employee well-being at work and at home • Reasonable accommodations for applicants with disabilities