What is Reverse ETL?
Definition: The process of syncing data from a data warehouse (Snowflake, BigQuery) back into operational tools like CRMs, ad platforms, and sequencing tools so that teams can act on warehouse-computed insights.
Traditional ETL moves data from operational tools into a warehouse for analysis. Reverse ETL does the opposite: it pushes warehouse data back into the tools where sales and marketing teams work. Hightouch and Census are the two main platforms in this space.
Why does this matter for GTM Engineers? Because your data warehouse often has the best version of the truth. Product usage data from Segment, billing data from Stripe, support ticket counts from Zendesk, all joined together in BigQuery. A reverse ETL pipeline can push "users who hit the pricing page 3+ times this week" directly into HubSpot as a hot lead segment.
A concrete example: your data team builds a lead scoring model in the warehouse that combines product usage, firmographic data, and intent signals. Without reverse ETL, that score lives in a dashboard nobody checks. With Hightouch or Census, the score syncs to Salesforce every hour, and your sequencing tool auto-enrolls high-scoring accounts into outreach cadences.
The alternative to reverse ETL is writing custom API integrations for every sync. That works at small scale but breaks down when you have 10+ data sources feeding 5+ operational tools. Reverse ETL platforms handle the scheduling, deduplication, and error handling so you don't build it from scratch.