About the Role
You will design data pipelines that ingest, validate, and transform accounting data into clean, reliable datasets. You'll define schemas and data contracts that balance flexibility with correctness, and build validation, lineage tracking, and drift detection into every pipeline you create. You will also craft interfaces that make data discoverable, computable, and observable throughout the system, working closely with AI researchers to optimize datasets and pipelines for iterative experimentation and multi-agent coordination.
Requirements
- Experience designing, building, and maintaining robust data pipelines at scale, particularly for AI and agent-based systems
- Strong knowledge of data modeling, schema design, and building reliable, observable data systems
- Proficiency with data validation, tracking data lineage, and implementing drift detection
- Ability to define and enforce data contracts and protocols for seamless data exchange and interoperability between different Agents within an applied AI environment
- Familiarity with supporting research and development workflows for agentic systems, including feedback loops, dynamic data flows, and multi-agent coordination
- Experience collaborating with AI researchers to optimize datasets and pipelines for iterative experimentation and innovation
- Familiarity with accounting, financial data, or similar domains (preferred)
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