Vercel12 дней назад

Senior Data Engineer - GTM

14 167–21 667 ₽в месяц · до вычета

РЫНОК

14 882 ₽медиана по профессии

Data Engineer · 26 вакансий с указанной зарплатой

6 667половина предложений: 11 421–16 23421 667

В рынке · выше 46% предложений

Hybrid - San Francisco

Обязанности

01Own pipelines that bring GTM source systems, including CRM, marketing automation, outbound tooling, and product usage, into the warehouse reliably
02Diagnose and resolve data quality and freshness issues at the source, not just downstream
03Design and maintain dbt models that turn raw GTM data into clean, trusted datasets, including pipeline, revenue, attribution, and funnel metrics
04Set testing and documentation standards so models are trustworthy and easy for others to extend
05Build datasets and semantic models that power the dashboards and reports Sales, Marketing, and RevOps leadership run on
06Reduce reliance on one-off requests by designing for self-service
07Work with Sales, Marketing, and RevOps leaders to understand what they need from the data and why, and push back when the ask doesn't match the underlying question
08Bring enough context on how the business runs its GTM motion that you can spot bad metrics before they ship
09Build pipeline and transformation code to a high engineering bar, and hold others to it through code review
10Form and advocate for a point of view on GTM data modeling and pipeline design
11Mentor other engineers and help set technical standards for the team

014+ years of experience in data engineering, analytics engineering, or a closely related field, with a track record of owning production data pipelines end-to-end
02Strong SQL and Python skills, with experience writing production-grade, testable code, not just scripts for one-off analysis
03Hands-on experience with dbt (or a comparable transformation framework), dimensional/data modeling, and modern ELT/ETL workflows, including orchestration tooling (e.g., Airflow, Dagster)
04Direct experience with GTM data, e.g. CRM data models, pipeline and revenue reporting, sales/marketing attribution, and genuine fluency in how those metrics are defined and used
05Proven ability to partner with non-technical stakeholders (Sales, Marketing, RevOps leadership), translating ambiguous business questions into technical specs and durable data models, not just taking requirements at face value
06Strong communication skills, including experience presenting technical trade-offs to both technical and business audiences and driving alignment across teams with competing priorities
07A track record of technical ownership, with the judgment to make architecture and modeling decisions independently, and interest in raising the bar for a team's data practices, including mentoring more junior engineers

01Competitive compensation package, including equity
02Inclusive Healthcare Package
03Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
04Flexible Time Off
05We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed