Data Engineer

About Paires and Role Overview

Paires offers a platform where founders connect with the right investors from a global network, facilitating warm outreach that converts into meetings. The team is small, senior, profitable, and self-funded, delivering rapidly in a flat structure.

This first Data Engineer position is crucial for owning and managing the primary database that powers all agents and outreach activities. The database is a complex knowledge graph combining companies, investors, funding rounds, news, and the underlying communication contexts such as emails and call transcripts.

Key Responsibilities

• Design, scale, and maintain the main database architecture built on Postgres and Supabase with hybrid search capabilities, including schema design, data modeling, performance optimization, and growth management without limits.
• Ensure high data quality through validation gates, deduplication, entity resolution, provenance tracking, and vigilant monitoring of vendor and third-party data.
• Manage the communications layer by storing and linking raw emails and call transcripts to corresponding people and companies, enabling effective searchability.
• Develop and optimize ingestion and enrichment pipelines to handle funding rounds, market news, and contact/company research with a focus on cost-efficiency and data freshness.
• Maintain the knowledge graph structure with entities and relationships representing companies, investors, rounds, and news, ensuring every fact has provenance.
• Create and uphold a unified clean data layer that serves all campaigns, agents, and product features consistently.

Candidate Profile

• Experience owning and maintaining databases related to companies, people, deals, or communications, particularly those serving as a CRM or market intelligence knowledge source for live products and sales teams.
• Proficient in SQL and Python with hands-on experience in building robust data pipelines involving ingestion, transformation, deduplication, and enrichment.
• Track record of identifying and mitigating bad data before it impacts business operations.
• Strong schema and contract design skills to future-proof database queries and structure.
• Expertise in entity-relationship modeling at scale involving complex connections like investors, companies, funding rounds, and people.
• Comfortable working quickly with AI tools and accountable for delivering high-impact outcomes.
• Experience owning CRM data, enrichment pipelines, and deduplication processes, possibly combined with growth or RevOps roles.
• Bonus expertise includes working with pgvector and embeddings, knowledge graph modeling within relational databases, scaling funding-news ingestion, entity resolution, and self-built communication stores.

Work Conditions and Benefits

• Fully remote work with asynchronous communication.
• Work hours overlap partially with US Eastern time, with meetings primarily scheduled on Mondays and Thursdays to enable extended focus time.
• Access to advanced AI tools such as Claude Code, Cursor, and leading AI models at the company's expense.
• Collaboration with GTM leaders and founding engineers, contributing to foundational layers that support the entire product.

Compensation

The salary ranges between CA$150,000 and CA$250,000 annually.