GTM Data Engineer — Shape Canonical Data for Revenue

Anthropic Limited; New York (NY); Híbrido; USD 320.000 - 405.000; Jornada completa

Descripción de la vacante

Anthropic is seeking a Data Engineer to build the data foundation for its quote-to-cash lifecycle. You will model Salesforce, CPQ, and billing data into canonical datasets, enabling Sales, Deal Desk, Order Management, Revenue Operations and Finance to work from a single, auditable definition of what was sold and its terms.

You will partner with DS&A, GTM and Finance teams to ensure data reliability, governance and self-serve analytics at scale as Anthropic grows.

Formación

• 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams.

Responsabilidades

• Understand data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements.
• Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets.
• Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data.
• Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record.
• Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams.
• Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture.

Conocimientos

SQL

Python

Data Modeling

ETL

Dashboards

Analytics

Educación

Bachelor’s degree

Herramientas

Airflow

GitHub

dbt

Salesforce

CPQ

Billing systems

Descripción del empleo

Anthropic is seeking a Data Engineer to build the data foundation for its quote-to-cash lifecycle. You will model Salesforce, CPQ, and billing data into canonical datasets, enabling Sales, Deal Desk, Order Management, Revenue Operations and Finance to work from a single, auditable definition of what was sold and its terms.

You will partner with DS&A, GTM and Finance teams to ensure data reliability, governance and self-serve analytics at scale as Anthropic grows.