Data Engineer – Build & Own Knowledge Graph Database

About the role

Paires is seeking its first Data Engineer to own and evolve the core database that powers its investor‑founder matchmaking platform. You will be responsible for designing, scaling, and maintaining a knowledge‑graph‑style data layer that feeds real‑time agents, outreach campaigns, and product features.

Key responsibilities

• Design, model, and scale the primary PostgreSQL/Supabase database, including hybrid search and pgvector integration.
• Implement end‑to‑end data quality pipelines: validation, deduplication, entity resolution, provenance tracking, and monitoring.
• Build and maintain ingestion pipelines for funding rounds, market news, and contact research, ensuring cost‑effective freshness.
• Develop the communications layer that stores raw emails and call transcripts, linking them to the correct entities.
• Collaborate with AI agents built on Pydantic AI and Claude Agent SDK running on AWS.

Required profile

• Proven experience owning a database of companies, investors, deals, or related communications (CRM or market intelligence).
• Hands‑on expertise with PostgreSQL and modern data‑stack tooling.
• Ability to build scalable pipelines and ensure high data integrity.

Required skills

• PostgreSQL
• Supabase
• pgvector
• Pydantic AI
• Claude Agent SDK
• AWS