Financial Services, Hedge Fund, Asset Management, Quantitative Trading

Senior Data Platform Engineer

New York, NYOnsiteFull TimeSeniorPosted 5 days agoVisa sponsorship available

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Required skills

data platform engineering
database engineering
production data roles
SQL
PostgreSQL
query plans
schema design
performance tuning
operational troubleshooting
Python

Nice to have

SingleStore Helios
Kafka
streaming platforms
infrastructure as code
CI/CD
API-driven platform automation

Role summary

Schonfeld is seeking a Senior Data Platform Engineer to build and scale enterprise data services using SingleStore Helios and PostgreSQL. This hands-on role involves database architecture, production engineering, data pipeline development, platform migrations, self-service enablement, and cost optimization. You will design and optimize databases, build ingestion pipelines, lead migrations, develop self-service capabilities, optimize cloud spend, and ensure production readiness and reliability. The ideal candidate has 7+ years of experience in data platform or database engineering, advanced SQL and PostgreSQL expertise, and strong Python skills for pipeline development. Experience with distributed/cloud databases, modern data integration patterns, and cloud object storage is required. Preferred qualifications include SingleStore Helios experience, Kafka, infrastructure as code, CI/CD, API automation, data governance, and database migration experience.

The Role

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.

What you'll do

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.

What you'll bring

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 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.

Who We AreSchonfeld 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.Our Culture 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 exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. 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.

The base pay for this role is expected to be between $180,000 and $250,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

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