Data Engineer (GTM)

GTM Engineering Team at TRACTIAN At TRACTIAN the Go-To-Market team is a global department that supports Tractian GTM teams across the US, Brazil, and Mexico. We are a foundational team that is building the data infrastructure, systems, and processes that support our GTM team and directly impact our customer experience.  What you'll do As a Data Engineer (GTM) at Tractian, you will architect and scale our revenue data analytics and infrastructure to supercharge our GTM engine. Your focus will be on managing a customer data lake, automating account enrichment and revenue workflows. This is a cross-functional, high-impact role that blends data engineering, analytics, and GTM strategy with best of breed tools. Responsibilities:

Architect and manage data pipelines and infrastructure for GTM systems, leveraging BigQuery, Clay, ZoomInfo, as well as cloud storage and ETL frameworks.

Develop, test, and maintain highly available scripts and microservices (Python, JavaScript/Node.js) to orchestrate data acquisition and processing workflows.

Design and manage a unified GTM data lake, merging raw and enriched datasets into a single source of truth for segmentation, ICP scoring, and territory assignments.

Incorporate LLM-based enrichment pipelines to intelligently augment account/contact metadata and drive predictive targeting.

Build and maintain batch & streaming ingestion pipelines for GTM data using Apache Beam, Kafka, or Pub/Sub, with Airflow orchestration.

Develop semantic layers and star/snowflake schemas for GTM analytics in dbt, ensuring BI tools query from pre-aggregated, materialized datasets.

Partner closely with RevOps, Enablement, and Sales Leadership to improve seller workflows, define KPIs, and ensure data consistency across tools.

Proactively identify areas for automation and workflow efficiency; build scalable solutions for repetitive GTM processes.

Design and maintain high-cardinality indexing strategies for real-time ICP scoring and territory assignment.

Requirements:

5+ years of experience in a technical Data engineer, data analytics, or data science role—preferably in high growth B2B SaaS.

Comfort with API integrations and at least one scripting language (Python, Go) to automate and connect tools.

Experience managing large datasets and transforming GTM insights into tactical recommendations.

Excellent problem-solving skills and a bias for automation and scale.

Ability to collaborate across functions and communicate technical concepts to non-technical stakeholders.

Comfortable working autonomously in a fast-paced environment.