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ABOUT THE ROLE Join a fast-moving, NYC-based AI-native data infrastructure company that is building the next generation of agentic analytics. This is a greenfield opportunity to architect and build a scalable OLAP lakehouse platform that turns messy enterprise data into trustworthy, actionable answers — at scale, for some of the most data-intensive organizations in the world. As a Senior Software Engineer on the Distributed Data Systems team, you'll own core platform components end-to-end, with a particular focus on query performance and join optimization. If you get genuinely excited about JOIN order optimization or have ever implemented a query optimizer for fun, this role was written for you. The company is well-funded (Series A/B stage) and backed by notable strategic investors. Hiring decisions can be made within 72 hours of an onsite interview, and interview travel is covered. Visa sponsorship is available. WHAT YOU'LL DO - Work on a greenfield OLAP lakehouse project, building the data platform for the agentic era — where AI agents drive the vast majority of queries. - Design and implement distributed data system components with a strong focus on join optimization and query performance. - Collaborate fluidly across infrastructure, services, and frontend to deliver end-to-end data platform features. - Ship reliable, scalable data infrastructure that powers enterprise-grade analytics at scale. - Contribute from zero to one — this is early-stage, high-ownership work. WHAT WE'RE LOOKING FOR Required: - 4+ years of experience as a data systems, backend, infrastructure, or platform engineer. - Proficiency in Haskell and/or TypeScript (the core tech stack). - Strong data focus — you think deeply about data quality, correctness, and performance. - Experience building products from zero to one; prior startup experience (ideally VC-backed) strongly preferred. - Experience with distributed systems. - Experience with big data systems (Apache Spark, Hadoop). - Experience with databases (relational, columnar, or otherwise). - Strong foundation in algorithms and data structures and their real-world applications. - Experience with OLAP lakehouse / data lakehouse architecture and query optimization. Nice to Have: - Comfortable diving into any layer of the stack — infrastructure, services, or frontend. - Passion for building robust, scalable, and easy-to-use systems. - Background at companies working on data platforms, query engines, or AI/ML infrastructure. COMPENSATION & BENEFITS - Salary: $200,000 – $350,000 USD annually (based on experience) - Equity participation in a well-funded, high-growth startup - Interview travel covered for onsite candidates - Visa sponsorship available LOCATION This role is on-site in New York, NY. Candidates should be based in NYC or willing to relocate. This is not a remote role.