Tech Stack

Description

You will design and build the next-generation query processing stack for a multi-model data platform, optimizing for both traditional analytics and AI-driven workloads. You'll work on query parsing, optimization, execution, and code generation, enabling features like vector search and graph traversal within SQL. Your impact will span architecting components that scale across petabytes and collaborating on the convergence of AI and analytics.

Requirements

• 10+ years in systems-level or database internals engineering
• Proven expertise in SQL query engines, optimizers, execution runtimes, or data compiler toolchains
• Experience with multi-model data systems (SQL + JSON, vector search, graph traversal)
• Expert in at least one systems programming language or LLVM-based codegen environments
• Strong grasp of relational algebra, compiler construction, and data-intensive workloads

Responsibilities

• Architect and implement query optimization and execution components scaling across petabytes
• Design tooling and frameworks for seamless AI and analytics convergence
• Collaborate with platform and storage teams on multi-model indexing and caching strategies
• Contribute to building programmable intelligent data pipelines for ML model performance
• Mentor engineers, guide technical debates, influence long-term system direction