Senior Manager, Data Engineering - Motorsports

Role overview Lead the data engineering and data science teams responsible for platforms and decision tools supporting multiple motorsports racing programs. You will set the technical direction for moving telemetry, simulation, aerodynamic, and trackside data into dependable insights, while managing leaders and contributing directly to architecture, code, and urgent race-weekend problem solving.

Responsibilities - Lead and develop engineering and data science managers, building a shared roadmap and delivery approach across their teams. - Own the data platform strategy for ingestion, streaming, lakehouse storage, governance, and AI and machine learning enablement. - Bring batch and real-time pipelines together for telemetry, timing, scoring, and trackside data. - Guide machine learning models into production, including their lifecycle, deployment, and monitoring. - Set engineering practices for delivery pipelines, infrastructure automation, testing, data quality, observability, and service objectives. - Support critical race-weekend needs, manage cloud capacity and costs, protect sensitive competition data, and communicate trade-offs to senior leaders.

Requirements - Bachelor’s degree in computer science, engineering, data science, or a related field. - Ten or more years delivering production distributed data platforms in data engineering, software engineering, or data science. - Five or more years leading technical teams, including managing managers, while staying active as a technical contributor. - Deep experience with Azure Databricks and Azure data services, including the source-listed Spark, Delta Lake, Unity Catalog, ADLS, Event Hubs, AKS, and Key Vault. - Proven experience productionizing AI or machine learning, plus real-time streaming and high-frequency time-series data. - Strong Python and SQL skills, with experience in CI/CD, Git, infrastructure as code, and delivery under hard deadlines.

Nice to have Experience leading both data engineering and data science, or working with motorsports, automotive, vehicle dynamics, simulation, or aerodynamic data. Further advantages include Databricks AI capabilities, generative AI applications such as retrieval-augmented generation and agents, low-latency cloud systems, and scaling new programs or teams.

Benefits and work setup The role is remote within the country of work. Relocation support may be available to eligible candidates. The source references employee benefits but does not specify individual benefits.