Senior Quantitative Data Platform Engineer

Tradermath; New York (NY); Hybrid; USD 200,000 - 220,000; Full time

Job summary

Schonfeld is seeking a Senior Data Platform Engineer to architect, operate, and continuously refine a next‑generation data platform that powers research, systematic trading, AI and risk analytics. You’ll run high‑throughput pipelines from market-data streams to end‑of‑day workflows, collaborating with quants, data scientists, and engineers to meet sub‑minute SLAs and deliver robust, scalable systems.

The role offers base pay of $200,000–$220,000 with potential bonuses and benefits.

Qualifications

• 7+ years building production data platforms with Python and SQL.
• Deep expertise in big-data architecture: partitioning, sharding, columnar formats.
• Hands-on with SingleStore/MemSQL, Spark/Flink/EMR and event buses (Kafka/Kinesis).
• Proven AWS skills plus Terraform / CloudFormation infrastructure-as-code mastery.
• Experience delivering data services for AI/ML workloads and feature pipelines.
• Experience building AI/ML feature stores or RAG pipelines.
• Performance-tuning Postgres, SingleStore/MemSQL, or KDB for sub-second queries.
• Proficient in API design, versioning, and OpenAPI/Swagger documentation.
• Comfortable collaborating directly with traders, quants, and data scientists.

Responsibilities

• Architect and operate the platform – 24x7 reliability, IaC-driven deployments, tight cost controls
• Build and evolve batch and streaming pipelines that ingest billions of market-data events each day
• Architect high-performance, cost-efficient Lakehouse tables
• Expose curated datasets via robust, versioned APIs consumed by quants and AI agents
• Optimize workflows to meet aggressive SLAs, embedding observability and automated data quality checks end-to-end
• Champion Infrastructure-as-Code with Git-driven CI/CD for every data asset
• Mentor junior engineers and enforce best-in-class coding standards
• Continuously refine processes to keep our data ecosystem resilient and lightning-fast

Skills

Python

SQL

AWS

API design

OpenAPI/Swagger

Collaboration

Tools

SingleStore/MemSQL

Spark

Flink

EMR

Kafka

Kinesis

Terraform / CloudFormation

Job description

Schonfeld is seeking a Senior Data Platform Engineer to architect, operate, and continuously refine a next‑generation data platform that powers research, systematic trading, AI and risk analytics. You’ll run high‑throughput pipelines from market-data streams to end‑of‑day workflows, collaborating with quants, data scientists, and engineers to meet sub‑minute SLAs and deliver robust, scalable systems.

The role offers base pay of $200,000–$220,000 with potential bonuses and benefits.