Enterprise Application Data Architect, GTM Systems
OpenAIAbout the Team
The Growth and Support Services team is responsible for building and maintaining the systems, data foundations, and operational processes that support our go-to-market and customer-facing teams.
The team partners closely with Revenue Operations, Business Systems, Data Engineering, Analytics, Sales, Marketing, Customer Success, Support, Security, and other cross-functional stakeholders. Our work helps ensure that customer and prospect data is accurate, consistent, secure, and actionable across the full customer lifecycle.
About the Role
As a Data Architect, you will define and improve the data architecture supporting our go-to-market systems and enterprise CRM environment.
You will lead efforts to improve Salesforce and internal data from initial lead acquisition and enrichment through sales, onboarding, customer success, and support. You will design scalable data models, establish system-of-record definitions, improve integrations, and lead data-quality and governance initiatives across customer, account, contact, lead, opportunity, and support data.
We’re looking for people who combine strong technical expertise in enterprise data architecture with hands-on experience improving complex CRM environments. You should be comfortable working across architecture, data modeling, integration design, governance, and implementation.
This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.
In this role you will:
Define the target architecture for customer, account, contact, lead, opportunity, activity, campaign, and support data.
Assess and improve Salesforce data across the lead-to-support lifecycle.
Design canonical data models, entity relationships, identity-resolution rules, and system-of-record definitions.
Lead data-cleansing and remediation initiatives, including deduplication, normalization, enrichment, validation, and historical cleanup.
Establish matching, merging, and survivorship rules for people, companies, accounts, and related records.
Architect integrations between Salesforce, data warehouses, operational systems, support platforms, and third-party data providers.
Define standards for field definitions, lifecycle stages, ownership, metadata, lineage, retention, and access controls.