GTM Data Engineer

Job Description: We are a growing B2B SaaS company looking for an experienced GTM Data Engineer / RevOps Data Architect to build and scale our revenue data engine. Our goal is to collect, enrich, and deduplicate vast amounts of data across our target market (direct enterprise customers, system integrators, and partners) and sync it seamlessly into Salesforce, our primary system of record. You will sit at the intersection of Data Engineering and Revenue Operations. We do not just need a Salesforce admin; we need a data architect who can build scalable pipelines outside of Salesforce, run complex waterfall enrichments, establish a "Golden Record," and push clean data back into Salesforce via Reverse ETL. Key Responsibilities: Data Aggregation: Ingest raw data from multiple sources (intent data, web scrapes, third-party lists) into a centralized data warehouse (Snowflake/BigQuery). Waterfall Enrichment: Design and maintain enrichment workflows (using tools like Clay, ZoomInfo, Apollo, etc.) to fill in missing technographic and contact data. Deduplication & Hygiene: Build robust fuzzy matching and exact-match logic to deduplicate records before they ever touch Salesforce. Salesforce Syncing: Setup and manage Reverse ETL (Census, Hightouch) to push enriched data into Salesforce, respecting API limits and complex Account hierarchies. Lead-to-Account Matching: Ensure incoming leads are accurately mapped to the correct parent/child accounts, distinguishing between direct buyers and ecosystem partners/SIs. Required Skills: Advanced SQL and Python for data manipulation and API integrations. Deep understanding of Salesforce architecture (Custom Objects, SOQL, Governor Limits, Account Hierarchies). Experience with Reverse ETL tools (Census, Hightouch) and Cloud Data Warehouses. Experience with Lead-to-Account matching and deduplication tools (RingLead, LeanData, DemandTools, etc.). A strong operational understanding of B2B GTM motions.