About the RoleThis is a greenfield opportunity to architect and build the data platform for the agentic era - a scalable OLAP lakehouse that turns complex enterprise data into trustworthy, actionable answers. You'll join a small, high-output engineering team at an AI-native analytics company serving Fortune 100 enterprises in demanding industries like healthcare and financial services, where data quality and query performance directly drive business impact.
What You'll Do- Design and build core components of a greenfield OLAP lakehouse data platform from the ground up.
- Implement distributed data system components with a focus on join optimization and query performance.
- Collaborate across infrastructure, backend services, and frontend to ship end-to-end data platform features.
- Deliver reliable, scalable data infrastructure that supports enterprise-grade analytics at scale.
What We're Looking For- 4+ years of experience as a data systems, backend, infrastructure, or platform engineer building and delivering data infrastructure.
- Hands-on experience with OLAP lakehouse or data lakehouse architecture, including query optimization and join optimization.
- Proficiency in Haskell and/or TypeScript (the team's primary stack).
- Experience with big data systems such as Apache Spark or Hadoop.
- Demonstrated ability to design and implement distributed systems components.
- Solid experience with databases - schema design, indexing, and query execution.
- Strong foundation in algorithms and data structures with real-world application.
- Experience shipping products from zero to one in a startup or early-stage environment.
- Comfortable working across multiple system layers - infrastructure, services, and frontend.
- Prior experience at a VC-backed startup is a plus.
Compensation & BenefitsBase salary range:
$200,000 - $350,000 USD annually, plus equity. Visa sponsorship is available.
LocationOn-site in
New York, NY. This role requires in-person presence; candidates should be based in or willing to relocate to New York City.
