GTM Data Engineer

PartsSource • Hoffman Estates, IL

1d • Hybrid

About The Position

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.

Requirements

• 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

Responsibilities

• 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

Benefits

• 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 & beautiful workspaces that balance flexibility, collaboration, and productivity.
• Inclusive and diverse community of passionate professionals learning and growing together.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed