Enterprise Application Data Architect, GTM Systems
The vacancy is well-defined in terms of responsibilities and requirements, but lacks compensation details.
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Overview
Join OpenAI as a Data Architect to improve data architecture for go-to-market systems and CRM environments, ensuring data quality and governance across customer lifecycles. 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 the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
What you'll do
- •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.
Conditions
- •Hybrid work model of three days in the office per week.
- •Relocation assistance to new employees.