Paires - Data Engineer

• The database itself: Postgres and Supabase with hybrid search, schema design, modeling, scaling, and performance as it grows without a ceiling. The agents that read it run on Pydantic AI and the Claude Agent SDK, on AWS. We are consolidating into pgvector, not buying a vector DB. • Data quality end to end: validation gates for vendor and third-party data, dedup, entity resolution, provenance, monitoring. • The communications layer: raw emails and call transcripts stored, linked to the right people and companies, and searchable. • Ingestion and enrichment pipelines: funding rounds, market news, and contact and company research at scale, engineered for cost and freshness. • The knowledge graph: companies, investors, funding rounds, and news as entities and relationships - node and edge tables in Postgres, provenance on every fact. • The unified data layer: one clean spine that every campaign, agent, and product feature reads from. • You are a fit if you • Have owned a database of companies, people, deals, or the communications between them - a CRM source of truth, a market or deal intelligence graph, an enrichment layer - that a live product, agents, or a sales team read from. Serving dashboards is a different job than this one. • Are strong in SQL and Python, with real pipeline work behind you: ingest, transform, dedup, enrich. • Have caught bad data before it hurt the business, and can tell us how. • Think in schemas and contracts, and design for the queries of a year from now. • Have modeled entities and relationships at scale - companies to investors to rounds to people - and kept the connections queryable as the sources multiplied. • Move fast with AI tooling and own outcomes. • You do not need the title. If you were the RevOps or growth person who owned the CRM data, the enrichment pipelines, and the dedup nobody else wanted - and you got real hands-on with AI - we want to hear from you. • Bonus: pgvector and embeddings, a knowledge graph you modeled in a relational database, funding-round or news ingestion at scale, entity resolution at scale, a raw communications store you built yourself.