GTM Data Engineer

The GTM Data Engineer is responsible for building and maintaining a single, trusted customer and revenue data foundation across Marketing, Sales, and Customer Success. This role partners closely with Revenue Operations to ensure all GTM teams operate from a consistent source of truth for pipeline, revenue, retention, and growth. You will own how GTM data is structured, enriched, validated, and made available—eliminating data ambiguity and enabling confident, data-driven decision making.

(Technology – Data Engineering: Data Modeling & Architecture, Data Quality & Governance)

• Design and maintain the canonical customer, account, and revenue data model across GTM systems

• Resolve identity across contacts, accounts, users, assets, services, and subscriptions

• Define authoritative objects and metrics for pipeline, bookings, renewals, expansion, and churn

• Ensure historical accuracy, data lineage, and consistent metric definitions

(Technology – Data Engineering: ETL & Data Integration, Data Pipeline Development)

• Build and manage data pipelines across CRM, marketing automation, services, and financial systems

• Identify data gaps and implement enrichment strategies to improve completeness and usability

• Merge datasets into unified customer and account views with clear conflict-resolution rules

• Own schema changes, backfills, reprocessing, and validation as systems evolve

(Sales Revenue Operations: Performance Metrics & Reporting, Sales Analytics)

• Implement approved attribution and revenue logic consistently across channels and time periods

• Validate sourced, influenced, and assisted revenue before executive reporting

• Enable trusted funnel, pipeline, retention, and expansion reporting within systems of record

• Reduce reliance on spreadsheets and manual reconciliation

(Technology – Systems & Applications: Systems Integration, Systems Thinking)

• Support a warehouse-centric or composable CDP approach for GTM data

• Partner with GTM leadership to evolve long-term data architecture

• Prepare high-quality, LLM-ready datasets for AI-enabled GTM workflows

• Ensure access controls, privacy, and compliance requirements are met

Your Background

• 5+ years in data engineering, analytics engineering, or GTM data roles

• Strong experience with CRM and GTM data models

• Advanced SQL skills and experience with modern data stacks and ETL tools

• Experience supporting attribution, lifecycle, and revenue reporting

• Familiarity with Customer Data Platforms or warehouse-centric CDP approaches

• Ability to work cross-functionally with Marketing, Sales, Customer Success, Finance, and RevOps

• Act Like an Owner – Accountability & Execution: You take full ownership of GTM data quality and follow through to reliable outcomes.

• Serve with Purpose – Business Impact: You connect data architecture decisions to revenue visibility and GTM effectiveness.

• Adapt to Thrive – Managing Ambiguity: You remain productive amid evolving systems, definitions, and priorities.

• Collaborate to Win – Influence & Communication: You partner effectively with RevOps and GTM teams to align on shared metrics.

• Challenge the Status Quo – Data-Informed Decision Making: You use evidence and clarity to replace assumptions and debates.