As a Data Architect, you will define and improve the data architecture supporting our go-to-market systems and enterprise CRM environment.

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.

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.

Implement automated monitoring for data quality, completeness, freshness, consistency, and integration failures.

Improve the flow of data between marketing, sales, customer success, and support systems.

Enterprise Application Data Architect, GTM Systems

Responsibilities

Benefits

Company

Openai

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