Senior Software Engineer, Distributed Data Systems

### 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.