GTM Data Engineer: Canonical Data for Revenue Ops

Anthropic Limited; San Francisco (CA); Hybrid; USD 320.000 - 405.000; Vollzeit

Benefits dieser Stelle

Generous vacation

Parental leave

Flexible working hours

Office in San Francisco

Equity donation matching (optional)

Zusammenfassung

Anthropic is seeking a Data Engineer on the Data Science & Analytics team to build the data foundation for Anthropic’s quote-to-cash lifecycle across GTM, Finance, and Revenue. You will design canonical data models and partner with Salesforce, CPQ and billing engineers to ensure reliable, well-modeled data.

The role emphasizes data integrity, self-serve analytics, and scalable data products. Applicants should have 5+ years in data engineering, strong SQL/Python, and experience with dbt and

Qualifikationen

• Bachelor's degree or equivalent in a relevant field.
• 5+ years experience as a Data Engineer or analytics-focused role.
• Experience modeling Salesforce data and quote-to-cash systems (CPQ, billing, CLM, or ERP).
• Proficient in SQL and Python for data transformation.
• Experience with dbt, Airflow, and version control (GitHub).

Aufgaben

• Understand data needs of Deal Desk, Order Management, Revenue Ops, Finance and Sales teams.
• Design, build and own data models transforming Salesforce, CPQ and billing data into canonical datasets.
• Establish data integrity standards and SLAs for timely, accurate data delivery.
• Collaborate with Salesforce, CPQ and billing engineers on upstream schema changes.
• Build foundational data products, dashboards and self-serve analytics for GTM teams.
• Influence roadmaps and become the expert on Anthropic’s GTM data models.

Kenntnisse

SQL

Python

dbt

Airflow

Data modeling

Data warehousing

Ausbildung

Bachelor's degree in a relevant field

Tools

Salesforce

CPQ

Billing systems

GitHub

Jobbeschreibung

Anthropic is seeking a Data Engineer on the Data Science & Analytics team to build the data foundation for Anthropic’s quote-to-cash lifecycle across GTM, Finance, and Revenue. You will design canonical data models and partner with Salesforce, CPQ and billing engineers to ensure reliable, well-modeled data.

The role emphasizes data integrity, self-serve analytics, and scalable data products. Applicants should have 5+ years in data engineering, strong SQL/Python, and experience with dbt and