About this role

Build and scale the data platform that turns messy GTM signals into reliable, auditable workflows
Design queues, and workers for enrichment, routing, assignment, and activation
Integrate external data sources and APIs across CRM, sales engagement, ads, first and third party intent, and enrichment vendors
Work directly with various GTM teams to turn one-off experiments into reusable platform primitives
Debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream business systems

2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure
Deep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools
Track record of owning complex, end-to-end systems that serve real users or business-critical workflows
Clear judgment about data modeling, schema evolution, contracts, lineage, and long-term maintainability
You care whether the workflow actually works, whether customers trust it, and whether downstream teams can explain the output
Strong debugging instincts

Software Engineer, Growth Data Platform

Key skills