- 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
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