Enterprise Application Data Architect, GTM Systems

OpenAI

Data Architect defining data architecture supporting go-to-market systems and enterprise CRM at OpenAI. Leading data governance initiatives and integrations with Salesforce and other platforms.

Posted 6/16/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $260,000 - $288,000 per yearWebsite

Tech Stack

Tools & technologies

CloudETLSQL

About the role

Key responsibilities & impact

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

What you’ll need

Have deep expertise in enterprise data architecture, data management, data engineering, or a related technical discipline.
Have strong hands-on experience with Salesforce data architecture, including leads, contacts, accounts, opportunities, activities, campaigns, and support-related objects.
Have 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.
Have experience designing batch, API-based, event-driven, and reverse-ETL integrations.
Have advanced SQL skills.
Understand relational databases, cloud data warehouses, APIs, data pipelines, integration platforms, and distributed data systems.
Have experience defining data-quality rules, observability controls, reconciliation processes, and measurable service-level expectations.
Can translate business processes and operational requirements into scalable technical models and architecture.
Have experience with Salesforce and several of the following platforms: Clay, PitchBook, ZoomInfo, HG Insights, Cognism, Harmonic, and Meticulate.
Have comparable experience with sales intelligence, enrichment, company-data, prospecting, or go-to-market automation platforms.
Have experience integrating CRM data with cloud data warehouses and business intelligence environments.
Are familiar with data contracts, schema versioning, change-data capture, and event-driven architecture.
Have experience managing sensitive customer and prospect data in accordance with privacy, security, and retention requirements.
Communicate complex technical decisions clearly to both technical and non-technical audiences.
Have led cross-functional data modernization, CRM transformation, or enterprise data-governance programs.

Benefits

Comp & perks

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 (1 hour per 30 hours worked, or more, as required by applicable state or local law)
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
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata managementdata engineeringSalesforce data architectureSQLmaster data managementidentity resolutionentity matchingdata governanceAPI-based integrations

Soft Skills

technical leadershipcommunicationcross-functional collaborationproblem-solvingtranslating business processesguiding teamsclear communication