Senior Data Engineer, Analytics

Hiring Manager:
Fardad Golshany - Senior Data Engineer

We're looking for a data engineer with deep experience in analytics engineering and BI development to build the data infrastructure that powers decision-making across Scribe's 5M+ users and Fortune 500 customers. You'll architect scalable data marts in Snowflake using dbt, modernize our orchestration layer (Dagster/Airflow), improve data governance and monitoring with Metaplane, and enable AI-powered self-serve analytics in Sigma. This is a hands‑on role where you'll shape the data foundation that scales us from 5M to 50M users and beyond.

• Work with the Data Engineering team and report to Fardad Golshany, partnering closely with Engineering, Product, GTM, and Finance teams

• Design and build scalable analytics data marts in Snowflake using dbt that enable data science and insights across multiple business domains

• Maintain existing data pipelines and build new ETL and reverse ETL workflows to ensure reliable data movement across systems

• Stand up and scale orchestration infrastructure using Dagster or Airflow, implementing monitoring and alerting via Metaplane

• Build dynamic executive‑facing dashboards in Sigma to reduce time to insight and enable AI-powered self‑serve analytics

• Establish data governance standards with automated testing, comprehensive documentation, and semantic definitions that reduce ad‑hoc queries

• Optimize dbt pipeline performance by implementing incremental models, improving materializations, and applying engineering best practices

While we hire from almost anywhere in the world, our HQ is in beautiful San Francisco, California. For this role, we expect you to live in or near San Francisco and work from the office 3 days per week.

Our Data Engineering team is distributed between San Francisco and New York City. For highly experienced candidates who can operate independently, we may consider remote in one of these hubs.

• You have 4+ years building production data pipelines and analytics infrastructure in cloud‑native environments, with deep expertise in SQL and data transformation at scale

• You bring advanced production experience with dbt (2+ years), including writing macros, packages, and implementing best practices, plus hands‑on experience with Snowflake performance tuning and cost optimization

• You have production experience with orchestration tools (Dagster or Airflow) and understand DAG design, dependency management, and monitoring

• You've built executive‑level dashboards and BI solutions in Sigma (or similar tools) and understand how to structure semantic layers and optimize data models for AI‑powered analytics

• You understand dimensional modeling and analytics architecture — designing data marts, fact/dimension tables, and semantic layers comes naturally to you

• You work autonomously and drive complex projects end‑to‑end, thriving in ambiguity while communicating clearly with business stakeholders across all levels

If you're reading this thinking "that's me!", we want to meet you!

Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to ensure work gets done right. Our Workflow AI platform automatically documents and optimizes workflows so teams work smarter, faster, and more consistently.

We’re growing fast — since our founding in 2019, we’ve grown to over 5 million users across 600,000 businesses. Based in San Francisco, we've raised $55M in funding from top-tier investors and are honored to have been named as a Forbes Next Billion Dollar Startup and Linked In Top Startup. Join us in our mission to uplevel how people do work.

We are builders aspiring to master our crafts. We care deeply about our teammates and want to win, together. We fully embrace the following values:

• Accelerate impact

• Raise the bar

• Make our users heroes

• Clear is kind

• Rapid learning machine

• One team one dream

We use trusted market data and a tiered location system to ensure competitive, equitable pay. The range below reflects this; your specific offer will depend on experience, pay parity, and…