Senior Data Engineer - GTM
Owns end-to-end GTM data pipelines, transformations, and models that power reliable pipeline, revenue, attribution, and funnel reporting. The role requires senior-level data engineering experience, strong SQL and Python, dbt and orchestration expertise, GTM metric fluency, and stakeholder partnership skills.
About the job
Responsibilities
- Own reliable pipelines ingesting GTM source systems, including CRM, marketing automation, outbound tooling, and product usage data, into the warehouse.
- Diagnose and resolve data quality and freshness issues at the source.
- Design and maintain dbt models for pipeline, revenue, attribution, and funnel metrics.
- Establish testing and documentation standards for trustworthy, extensible models.
- Build datasets and semantic models powering Sales, Marketing, and RevOps dashboards and reports.
- Design for self-service and reduce reliance on one-off data requests.
- Partner with Sales, Marketing, and RevOps leaders to clarify business questions and ensure metrics are meaningful.
- Build production-grade pipeline and transformation code and participate in code review.
- Define and advocate for GTM data modeling and pipeline design standards.
- Mentor engineers and help set technical standards.
Requirements
- 4+ years of experience in data engineering, analytics engineering, or a closely related field, owning production data pipelines end-to-end.
- Strong SQL and Python skills, including production-grade, testable code.
- Hands-on experience with dbt or a comparable transformation framework, dimensional/data modeling, modern ELT/ETL workflows, and orchestration tooling such as Airflow or Dagster.
- Direct experience with GTM data, including CRM data models, pipeline and revenue reporting, sales and marketing attribution, and related metric definitions.
- Ability to partner with non-technical stakeholders and translate ambiguous business questions into technical specifications and durable data models.
- Strong communication skills and experience presenting technical trade-offs to technical and business audiences.
- Technical ownership, independent architecture and modeling judgment, and an interest in mentoring junior engineers.
Compensation and Benefits
- San Francisco, CA base pay range: $170,000–$260,000.
- Equity and potential eligibility for a company bonus or variable pay program.
- Inclusive healthcare package.
- Mentorship and professional development opportunities.
- Flexible time off.
- Company-provided equipment and work-from-home budget.
Skills
SQL, Python, dbt, Data Modeling, ELT, ETL, Airflow, Dagster, CRM, Data Pipelines, Dimensional Modeling, Marketing Attribution, Revenue Reporting, Data Quality
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