• Lead the architecture and development of streaming data pipelines that deliver market and operational data to pricing algorithms with sub-second latency, relying on technologies such as Kafka and Flink • Define architectural standards for real-time data delivery, reliability, and observability • Ensure production SLAs are met for systems that directly impact pricing and trading workflows • Collaborate with quantitative researchers, data scientists, and engineers to deliver reliable data inputs for modeling and backtesting • Mentor engineers on best practices for distributed data systems and production-grade data pipelines • Contribute to the broader data platform, including batch pipelines and data modeling workflows when needed