Enterprise Application Data Architect, GTM Systems

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
• 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
• Experience with Salesforce and several of the following platforms: Clay, PitchBook, ZoomInfo, HG Insights, Cognism, Harmonic, and Meticulate
• Comparable experience with sales intelligence, enrichment, company-data, prospecting, or go-to-market automation platforms
• Experience integrating CRM data with cloud data warehouses and business intelligence environments
• Familiar 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
• Communicate complex technical decisions clearly to both technical and non-technical audiences
• Led cross-functional data modernization, CRM transformation, or enterprise data-governance programs