Sports Data Lead - Alternative Data

Unlok is building a next\-generation **real\-time and historical data platform** for event\-driven markets. We're looking for a **Sports Data Lead** to build our sports data foundation from the ground up. **What You'll Do** * Source and evaluate sports data feeds, APIs, and providers * Build canonical datasets across teams, players, leagues, games, and events * Map and reconcile data across multiple sources * Own data quality, accuracy, latency, and historical integrity * Define rules for postponements, cancellations, corrections, and other edge cases * Work closely with engineers to build scalable ingestion and data pipelines * Expand coverage across major global sports **What We're Looking For** * 4\+ years working professionally with sports data * Deep understanding of sports events, schedules, results, and data structures * Experience with Sportradar, Stats Perform/Opta, Genius Sports, SportsDataIO, TXODDS, or similar * Strong SQL \+ practical Python * Experience with APIs, data normalization, and entity resolution * Exceptional attention to detail and data\-quality mindset **Bonus** * Real\-time / streaming data * Betting or financial markets * ClickHouse, PostgreSQL, Kafka, AWS * Prediction markets **Not a sports betting, handicapping, or trading\-strategy role.** If you love sports data and want to **build something from scratch** , we'd love to hear from you.