The Senior Data Platform Engineer will manage Databricks infrastructure, develop cloud systems, collaborate with teams, and enhance machine learning workflows.

Drive daily sportsbook operations and merchandising across customer-facing product surfaces. Resolve escalated customer issues, monitor content, promotions, events, and odds, identify merchandising opportunities, track competitors, support quality assurance, and escalate technical or customer-facing problems. Collaborate with Trading, Marketing, Customer Experience, and Operations teams to improve processes and customer outcomes. Mentor junior team members and work evening and weekend shifts aligned with the sports calendar.

Develop, implement, and deploy statistical and machine learning sports models and pricing engines in Python; engineer sports data assets; build automated tests; collaborate with Trading, Product, Engineering, and QA; validate data flows and integrations; and mentor junior data scientists.