Remote Lead, Motorsports Data Engineering & AI Platform

Motorsport Hackers; North Carolina; Hybrid; USD 160,000 - 210,000; Full time

Benefits offered by this job

Relocation support

Remote work

Job summary

GM Motorsports is seeking a Senior Manager of Data Engineering to lead the data infrastructure and analytics platforms powering racing programs across Formula 1, NASCAR, IndyCar, IMSA, and beyond. You will guide managers, set roadmaps, and remain hands-on as the technical authority during race weekends.

You will unify real-time and batch data, architect pipelines using Databricks, Delta Lake, Kafka, and Spark/Flink, and drive ML/GenAI initiatives with MLflow-based MLOps.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or 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 (Spark, Delta Lake, Unity Catalog, Workflows/DLT) and Azure data services (ADLS, Event Hubs, AKS, Key Vault).
• A 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, plus experience with CI/CD, Git, and infrastructure-as-code.
• The ability to deliver under hard, deadline-driven schedules and to explain complex topics to engineering and executive audiences.

Responsibilities

• Lead and develop the Motorsports Data Infrastructure and Data Science managers and their teams.
• Integrate data engineering, software, and data science into one roadmap and operating model.
• Contribute hands-on as the senior technical lead: architect pipelines, prototype ML and GenAI solutions.
• Own the motorsports data platform roadmap, covering ingestion, streaming, lakehouse, governance, and AI/ML enablement.
• Unify real-time and batch data pipelines using Databricks, Delta Lake, Kafka/Event Hubs, Spark/Flink.
• Lead productionization of ML models and drive AI tooling adoption; set CI/CD standards.
• Protect data security and IP; manage Azure cost and vendor relationships; communicate strategy to leadership.

Skills

Azure Databricks

Python

SQL

MLOps

Streaming

Leadership

CI/CD

Terraform

Spark

Azure

Tools

Databricks

Delta Lake

Kafka

Event Hubs

Spark

Flink

MLflow

Job description

GM Motorsports is seeking a Senior Manager of Data Engineering to lead the data infrastructure and analytics platforms powering racing programs across Formula 1, NASCAR, IndyCar, IMSA, and beyond. You will guide managers, set roadmaps, and remain hands-on as the technical authority during race weekends.

You will unify real-time and batch data, architect pipelines using Databricks, Delta Lake, Kafka, and Spark/Flink, and drive ML/GenAI initiatives with MLflow-based MLOps.