About the Role

• 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.

Who We're Looking For

• 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).