We're looking for a Senior Data Engineer to join our Data team and own the reliability of the data our GTM stakeholders depend on. This is a full-stack role: you'll build and maintain the pipelines, transformations, and data models that turn CRM, marketing, and product usage data into the reporting and forecasting infrastructure that Sales, Marketing, and RevOps run on
You'll work closely with GTM stakeholders to understand how metrics are used and make sure they're right, not just build to spec. Reporting to the Data team's engineering lead, you'll have full ownership over your area, set technical direction, and help raise the bar for how the team builds GTM data infrastructure
If you want your work to directly shape how the business understands its pipeline, revenue, and go-to-market performance, we'd love to hear from you
Own pipelines that bring GTM source systems, including CRM, marketing automation, outbound tooling, and product usage, into the warehouse reliably
Diagnose and resolve data quality and freshness issues at the source, not just downstream
Design and maintain dbt models that turn raw GTM data into clean, trusted datasets, including pipeline, revenue, attribution, and funnel metrics
Set testing and documentation standards so models are trustworthy and easy for others to extend
Build datasets and semantic models that power the dashboards and reports Sales, Marketing, and RevOps leadership run on
Reduce reliance on one-off requests by designing for self-service
Work with Sales, Marketing, and RevOps leaders to understand what they need from the data and why, and push back when the ask doesn't match the underlying question
Bring enough context on how the business runs its GTM motion that you can spot bad metrics before they ship
Build pipeline and transformation code to a high engineering bar, and hold others to it through code review
Form and advocate for a point of view on GTM data modeling and pipeline design
Mentor other engineers and help set technical standards for the team