Senior Data Platform Engineer New York, New York, United States

Schonfeld; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

Schonfeld is seeking a hands-on Senior Data Platform Engineer to build enterprise data services centered on SingleStore Helios and PostgreSQL. You will architect schemas, pipelines, and governance across regions to deliver reliable data platforms.

You will lead migrations, optimise costs, and enable self-service onboarding with APIs and automation, while ensuring production readiness and observability across teams.

Qualifications

• 7+ years in data platform or production data roles.
• Strong SQL, PostgreSQL design, performance tuning.
• Experience with ingestion pipelines and data quality.

Responsibilities

• Design, develop and optimize SingleStore and PostgreSQL schemas and queries.
• Build and maintain batch, streaming and CDC pipelines into SingleStore.
• Lead migrations of workloads to SingleStore and onboard teams.
• Develop self-service onboarding capabilities via APIs and automation.
• Optimize cloud DB spend with cost allocation and showback.
• Ensure production readiness, monitoring and incident response.

Skills

Advanced SQL

PostgreSQL expertise

Python programming

Data pipeline development

Cloud databases

Tools

SingleStore Helios

PostgreSQL

Kafka

CI/CD pipelines

Cloud object storage

Job description

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 Are

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.

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.

U.S. Demographic Information (Completion is voluntary)

Individuals seeking employment at Schonfeld are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

At Schonfeld, we strive to cultivate a sense of belonging throughout all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. As a firm we are committed to creating a hiring process which is not only fair, but also welcoming and supportive. As a part of that, we want to encourage candidates to voluntarily complete the following survey which helps us keep track of how we are doing in our efforts.

Completion of the form is entirelyvoluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

Please note that all options below are as per EEOC guidelines and definitions.

Race & Ethnicity Definitions

• American Indian or Alaskan Native - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment.
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• Two or More Races- All persons who identify with more than one of the above five races.