Enterprise Application Data Architect, GTM Systems

Details

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.

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.

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.
• Experience cleaning, restructuring, or migrating large and complex enterprise CRM datasets.
• Understanding of 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.
• Familiarity with relational databases, cloud data warehouses, APIs, data pipelines, integration platforms, and distributed data systems.
• Experience defining data-quality rules, observability controls, reconciliation processes, and measurable service-level expectations.
• Ability to translate business processes and operational requirements into scalable technical models and architecture.
• Experience with Salesforce and several of the following platforms: Clay, PitchBook, ZoomInfo, HG Insights, Cognism, Harmonic, and Meticulate.
• Experience integrating CRM data with cloud data warehouses and business intelligence environments.
• Familiarity with data contracts, schema versioning, change-data capture, and event-driven architecture.
• Experience managing sensitive customer and prospect data in accordance with privacy, security, and retention requirements.
• Strong communication skills to convey complex technical decisions to technical and non-technical audiences.
• Experience leading cross-functional data modernization, CRM transformation, or enterprise data-governance programs.

Benefits

• The listed base pay range and additional total compensation components vary by market location, skills, and experience. Total compensation includes generous equity and performance-related bonus(es) for eligible employees.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental leave and paid medical and caregiver leave.
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
• 13+ paid company holidays and multiple company office closures throughout the year, plus paid sick or safe time as required by law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of AI capabilities and seek to safely deploy them to the world through our products. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.