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).