Basis equips accountants with a team of AI agents to take on real workflows. The Data Engineering team at Basis owns and builds the tooling that allows our agents to interact with data from outside of Basis. As a Tech Lead on the Data Engineering team, you'll own the technical vision for how agents interact with data from other systems.
Requirements
- Own the architectural vision for your area and keep it consistent over time.
- Run effective design reviews that challenge assumptions and drive alignment.
- Mentor engineers on how to think about systems: from load testing to schema design to observability patterns.
- Simplify aggressively by removing unnecessary complexity and maintaining clean, stable abstractions.
Responsibilities
- Design data pipelines that ingest, validate, and transform accounting data into clean, reliable datasets.
- Define schemas and data contracts that balance flexibility with correctness.
- Build validation, lineage tracking, and drift detection into every pipeline.
- Create interfaces that make data discoverable, computable, and observable throughout the system.
- Translate accounting concepts into well-structured ontologies: entities, relationships, and rules.
- Create abstractions that help AI systems reason safely about real-world constraints.
- Design for clarity: make complex workflows understandable through schema, code, and documentation.
Other
- In-person team.
- NYC, Flatiron office.
