Founding Data Engineer
Core
Own and evolve Plain's data foundations including the warehouse, core models, and the customer/account spine to power analytics, reporting, and AI features for B2B companies.
Role type
Founding Data Engineer (hands-on IC)
Builds
Data warehouse, reusable data products, in-app reporting dashboards, and AI retrieval layers
Domain
B2B SaaS customer support platform
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, BigQuery, dbt, Dataform, real-time data platforms (Tinybird, ClickHouse), data warehouse architecture, event taxonomy design, data observability, self-serve analytics enablement
Preferred skills
Experience building modern analytics stacks from zero, experience with semantic layers and data governance, ability to translate business questions into scalable data models
Technologies
BigQuery, dbt, Dataform, Tinybird, ClickHouse
Responsibilities
Rebuild data warehouse architecture and schemas; deliver trusted reusable datasets for analytics and AI; establish data observability and incident response; ship in-app reporting features; evolve data layer for self-serve analysis; build retrieval layer for AI agent context; partner with cross-functional teams to define data models
Seniority
Founding, hands-on IC
