Senior Data Platform Engineer

We are seeking a hands-on Senior Data Platform Engineer to build and scale enterprise data services centered on Single Store Helios and PostgreSQL. You will combine database architecture and production engineering with data pipeline development, data curation, platform migrations, self-service enablement and cost optimization. You will work with teams across regions to deliver reliable, well-governed data services.

• Design, develop and optimize Single Store and PostgreSQL schemas, SQL queries, physical data models, indexing and workload performance.
• Build and maintain reliable batch, streaming and CDC ingestion pipelines from relational databases, object storage and other enterprise sources into Single Store; implement validation, transformation, enrichment and data curation.
• Lead technical assessments and migrations of existing applications and data workloads to Single Store, while onboarding new teams, applications and services.
• Build reusable self-service onboarding capabilities, including APIs, configuration templates, automated provisioning, access requests, pipeline deployment and operational guardrails.
• Optimize cloud database spend through workload right-sizing, consolidation, scheduling and performance tuning; develop transparent Single Store cluster, application and team-level cost allocation and showback.
• Own production readiness and database reliability: monitoring, incident triage, root-cause analysis, recoverability, deployment controls and collaboration with Single Store Helios support.
• Integrate data quality, lineage, ownership and access controls into delivery workflows; work with the enterprise data catalog and governance teams.
• Create engineering standards, CI/CD pipelines, automated tests, documentation and cross-region handoffs that reduce manual operational work.

What you need

• 7+ years of hands-on experience in data platform engineering, database engineering or closely related production data roles.
• Advanced SQL and PostgreSQL expertise, including query plans, schema design, performance tuning and operational troubleshooting.
• Strong Python and practical experience developing production-grade ingestion and transformation pipelines, with testing and observability.
• Experience with distributed or cloud-managed databases and modern data integration patterns, including batch and CDC; familiarity with cloud object storage as an ingestion and staging layer.
• Ability to own end-to-end technical delivery, collaborate with application teams and solve complex production issues independently.

We'd love if you had

• Hands-on Single Store (MemSQL) or Single Store Helios experience, including pipelines, performance tuning and workload design.
• Kafka or similar streaming platforms, infrastructure as code, CI/CD and API-driven platform automation.
• Experience building self-service data platforms, data quality frameworks, metadata/catalog integrations and chargeback/showback reporting.
• Experience with cloud Fin Ops, database migrations or financial-services enterprise data.

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies:
Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with…