Data platform engineer in financial services

We are seeking a hands-on Senior Data Platform Engineer to build and scale enterprise data services centered on SingleStore 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 SingleStore 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 SingleStore; implement validation, transformation, enrichment and data curation.
• Lead technical assessments and migrations of existing applications and data workloads to SingleStore, 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 SingleStore 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 SingleStore 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.

• 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.
• Будет плюсом: Hands-on SingleStore (MemSQL) or SingleStore 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 FinOps, database migrations or financial-services enterprise data

• At Schonfeld, we’ll invest in you.
• We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals.
• As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact.
• We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.