# Enterprise Application Data Architect, GTM Systems

**Company**: OpenAI
**Location**: San Francisco
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full time
**Salary**: $260K - $288K
**Category**: IT
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

**Apply**: https://jobs.ashbyhq.com/openai/a057c19d-83db-4bb2-a86f-07caa422d770?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5c44f98e-db0

## Description

## Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $260K – $288K.

## Benefits

- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

- 401(k) retirement plan with employer match

- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time

- Mental health and wellness support

- Employer-paid basic life and disability coverage

- Annual learning and development stipend to fuel your professional growth

- Daily meals in our offices, and meal delivery credits as eligible

- Relocation support for eligible employees

## About 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.

## 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.

## Responsibilities

- 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.

- Evaluate third-party data sources and define how external data should be matched, validated, and incorporated into enterprise systems.

- Partner with Business Systems, Revenue Operations, Data Engineering, Analytics, Security, and business stakeholders to translate operational requirements into durable technical solutions.

- Produce architecture diagrams, data dictionaries, integration specifications, governance documentation, and implementation guidance.

- Provide technical leadership and guide teams through complex data architecture and system-design decisions.

- Support and improve integrations involving Salesforce and go-to-market data platforms such as Clay, PitchBook, ZoomInfo, HG Insights, Cognism, Harmonic, and Meticulate.

## Requirements

- Deep expertise in enterprise data architecture, data management, data engineering, or a related technical discipline.

- Strong hands-on experience with Salesforce data architecture, including leads, contacts, accounts, opportunities, activities, campaigns, and support-related objects.

- Successfully cleaned, restructured, or migrated large and complex enterprise CRM datasets.

- Understand master data management, identity resolution, entity matching, deduplication, metadata management, data lineage, and data governance.

- Experience designing batch, API-based, event-driven, and reverse-ETL integrations.

- Advanced SQL skills.

- Understand relational databases, cloud data warehouses, APIs, data pipelines, integration platforms, and distributed data systems.

## Skills

### Required
- enterprise data architecture
- data management
- data engineering
- Salesforce data architecture
- SQL
- relational databases
- cloud data warehouses
- APIs
- data pipelines
- integration platforms
- distributed data systems

### Nice to have
- Clay
- PitchBook
- ZoomInfo
- HG Insights
- Cognism
- Harmonic
- Meticulate

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/a057c19d-83db-4bb2-a86f-07caa422d770?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)