TRACTIAN
SaaS
DataEngineer(GTM)
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer (GTM) at TRACTIAN. Skills: Data Engineering, Data Pipelines, GTM Systems, BigQuery. Architect data pipelines. Manage data pipelines”
What You'll Achieve.
Supercharge GTM execution; Deliver actionable insights
Industry & Context.
Problem-solving skills; Bias for automation
What They're Looking For.
Must Have
3+ years experience, SQL proficiency, CRM and GTM systems experience, API integrations experience, Scripting language experience
Nice to Have
High growth B2B SaaS experience preferred, Cloud platform certifications preferred
What You'll Do.
Architect data pipelines
Manage data pipelines
Architect infrastructure
Manage infrastructure
Develop microservices
Maintain microservices
Orchestrate data acquisition
Orchestrate data processing
Incorporate LLM enrichment
Drive predictive targeting
Build ingestion pipelines
Maintain ingestion pipelines
Develop semantic layers
Develop snowflake schemas
Improve seller workflows
Ensure data consistency
Identify automation areas
Build scalable solutions
Design indexing strategies
Maintain indexing strategies
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Partner with RevEng; Partner with Enablement; Partner with Sales Leadership; Communicate technical concepts
Communication Scope
Communicate technical concepts
Full Job Description
## Description GTM Engineering Team at TRACTIAN At TRACTIAN the GTM Engineering 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, manage, and scale our revenue analytics and systems infrastructure to supercharge GTM execution. Your focus will be on ensuring data integrity across systems, building reliable data pipelines for account enrichment, automating revenue workflows, and delivering actionable insights across the sales, marketing, and customer success functions. This is a cross-functional, high-impact role that blends engineering, analytics, and GTM strategy. ## Responsibilities Architect and manage data pipelines and infrastructure for GTM systems, leveraging Clickhouse, 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 RevEng, 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 s
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