We are building a world-class data platform to support systematic trading across 10+ global exchanges. This role will lead the Data Engineering team responsible for ingesting, processing, storing, and serving all market, reference, and alternative data with low latency and high reliability. You will also own the evolution of our Feature Store, which powers our live trading systems and research pipeline.
This is a role with significant ownership and influence over our trading technology stack.
Key Responsibilities
- Drive end-to-end delivery of core data engineering initiatives, including market data platforms, real-time and batch pipelines, feature stores, and scalable storage and processing systems.
- Lead and mentor the Data Engineering team; translate business and research needs into clear roadmaps, execution plans, and engineering standards (code quality, testing, CI/CD).
- Own data ingestion and processing for live and historical datasets, defining SLAs, data quality metrics, monitoring, schemas, and governance.
- Collaborate closely with researchers, product and engineering teams, as well as compliance and risk, to enable fast experimentation and reliable production deployment.