Tempo Software

Principal GTM Data Engineer – Architect

Tempo Software

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Lead

Tech Stack

CloudETLPythonSQL

About the role

  • Architect and implement the unified GTM data spine across CRM, marketing automation, product telemetry, billing, enrichment providers, partner data, and the warehouse.
  • Establish identity resolution, deduplication, and source-of-truth logic across systems.
  • Define canonical schemas that we’ll use to operate the business, enable AI across teams and drive results.
  • Build scalable ELT/ETL pipelines and orchestration workflows tailored to revenue activation.
  • Implement governance, lineage, access control, and quality monitoring for GTM data assets.
  • Partner closely with the BI / enterprise data team to align on shared infrastructure while owning GTM-specific models and activation layers.
  • Develop and productionize segmentation and scoring models (ICP scoring, ABM prioritization, expansion propensity, trial health, pipeline likelihood).
  • Apply statistical and machine learning techniques to improve scoring, targeting, routing, and revenue predictability.
  • Design experimentation and measurement frameworks for GTM programs.
  • Operationalize predictive outputs directly into GTM systems via agents, reverse ETL, or custom integration (Salesforce workflows, outbound automation, lifecycle programs, ABM platforms, partner programs).
  • Architect customer and prospect intelligence systems integrating first-party, enrichment, and ecosystem signals.
  • Develop frameworks for ecosystem intelligence (partner influence, marketplace signals, derived demand).
  • Enable real-time or near-real-time signal activation to sales and marketing teams.
  • Design structured data systems that power future AI-driven revenue workflows.
  • Manage and direct external agency/consulting partners executing against the GTM data roadmap.
  • Establish architectural standards and technical review processes.
  • Define the build vs. buy strategy for GTM data systems.
  • Develop the long-term roadmap for in-house data capability.

Requirements

  • 10+ years of experience in data engineering, analytics engineering, revenue data, or related leadership roles.
  • Demonstrated experience standing up a GTM or revenue data function from the ground up.
  • Deep hands-on expertise with modern data stack tools (cloud warehouse, transformation layer, orchestration, reverse ETL).
  • Advanced proficiency in SQL and Python.
  • Experience applying data science techniques in a GTM or revenue context.
  • Experience architecting data systems that power automation and AI workflows.
  • Strong understanding of CRM and marketing automation data models.
Benefits
  • Remote First work environment
  • Unlimited vacation in most of our locations!!
  • Great benefits including health, dental, vision and savings plan.
  • Perks such as training reimbursement, WFH reimbursement, and more.
  • Diverse and dynamic teams with challenging and exciting work.
  • An opportunity to have a real impact on our business.
  • A great range of social activities (both in person and virtual).
  • Optional in person meet-ups and the ability to travel to our international offices
  • Employee referral program
  • And so much more!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringanalytics engineeringrevenue dataSQLPythonELTETLdata science techniquesdata systems architecturedata governance
Soft Skills
leadershipcollaborationcommunicationstrategic thinkingproblem-solvingproject managementorganizational skillsstakeholder managementanalytical thinkingcreativity