GTM Data Engineer

Overview

Parts Source is the leading technology and software platform for managing mission-critical healthcare equipment. Trusted by over 5,000 US hospitals and 15,000 clinical sites, Parts Source empowers providers and service organizations to maximize clinical availability for patient care and automates the procurement of parts, services and training through a unique digital experience.

Parts Source team members are deeply committed to our mission of Ensuring Healthcare is Always On, which is foundational to our success and growth. Our vibrant culture is built upon aligned values, shared ownership, mutual respect, and a passion for solving complex customer problems.

About The Job Opportunity

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.

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.

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.

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.

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 Rev Ops

• 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 Rev Ops 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.

• Competitive compensation package with salary, incentives, company ownership/equity, and comprehensive benefits (401k match, health, college debt reduction, and more!)
• Career and professional development through training, coaching and new experiences.
• Hybrid culture with new and beautiful work spaces that balance flexibility, collaboration, and productivity.
• Inclusive and…