GTM Data Architect

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. The GTM Data Architect will play a critical role in designing, scaling, and optimizing how data flows through our Salesforce ecosystem to support Sales, Partner, Marketing, and Operations teams across both domestic and international markets. This role is responsible for architecting solutions that ensure accurate routing, intelligent enrichment, robust deduplication, and advanced automation within our CRM and supporting data platforms. The architect will partner closely with third‑party data vendors and internal stakeholders to enable sales campaigns, improve data quality, and define how AI‑driven data capabilities can be responsibly and effectively leveraged across first‑and third‑party data assets. This is a highly collaborative, hands‑on architecture role for someone who thrives at the intersection of CRM, data platforms, orchestration tooling, and emerging AI capabilities. Key Responsibilities Data Architecture & Architecture Architect and maintain scalable data architecture frameworks supporting lead, account, and opportunity routing, enrichment, deduplication, and lifecycle automation within Salesforce. Design orchestration patterns that support multi‑region and international go‑to‑market motions, ensuring compliance with data governance and regional considerations. Own and evolve orchestration logic leveraging tools such as but not limited to Ringlead, native Salesforce automation, and supporting services. Salesforce & Data Platform Integration Partner with Revenue Operations, Sales Ops, and IT to design Salesforce data models and automation that maximize data integrity, speed‑to‑lead, and seller efficiency. Collaborate on integrations between Salesforce and Snowflake, ensuring reliable data synchronization, scalable enrichment pipelines, and trusted analytics‑ready datasets. Establish best practices for data normalization, identity resolution, and deduplication across CRM and warehouse environments. Data Enrichment & Vendor Partnerships Work directly with external data vendors to source, evaluate, onboard, and operationalize enrichment data used for targeting, sales campaigns, and account intelligence. Define enrichment strategies and success metrics to ensure data investments are measurable and aligned to revenue outcomes. Manage vendor data ingestion and quality controls within orchestration workflows. AI & Advanced Data Strategy Help define the company’s point of view on AI’s role in data architecture and enrichment, particularly within Revenue Operations use cases. Explore and design AI‑assisted approaches for lead scoring, routing optimization, data completeness, and predictive enrichment. Partner with data science, analytics, and legal/compliance teams to ensure AI capabilities are responsible, explainable, and scalable. Governance, Quality & Enablement Establish data quality standards, monitoring, and exception handling across orchestration pipelines. Document architecture, orchestration logic, and operating standards to support long‑term scalability. Act as a subject‑matter expert and advisor to Sales, Partner, Marketing, and Operations stakeholders. Required Qualifications 7+ years of experience in Salesforce architecture, CRM data platforms, or Revenue Operations technology. Deep experience designing data architecture, routing, enrichment, and deduplication at scale. Hands‑on expertise with Salesforce (Sales Cloud preferred) and complex automation frameworks. Strong experience working with data platforms such as Snowflake and modern data pipelines. Proven background partnering with third‑party data providers and managing enrichment workflows. Ability to translate business requirements into scalable technical architectures. Strong collaboration and communication skills across technical and non‑technical teams. Preferred Qualifications Direct experience with Ringlead Orchestration or comparable enterprise data architecture tools. Experience applying AI or machine learning concepts to CRM, enrichment, or go‑to‑market data. Familiarity with global data privacy and compliance considerations (e.g., regional data handling). Prior experience supporting Sales, Partner, Marketing, or Revenue Operations organizations. Global Payments offers a comprehensive benefits package to all of our team members, including medical, dental and vision care, EAP programs, paid time off, recognition programs, retirement and investment options, charitable gift matching programs, and worldwide days of service. To learn more, review our benefits page at Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact View email address on click.appcast.io. #J-18808-Ljbffr SwiftCruit