GTM Data Architect

Global Payments (TSYS)

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Work type
On-site
Location
Atlanta, GA
Posted
3 days ago

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Similar $170k
$116k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $126,800–$212,343.

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About Global Payments (TSYS)

Global Payments (TSYS) is a leading worldwide provider of payment technology and software solutions delivering innovative services to issuers, merchants, and consumers across more than 100 countries. Industry: Payments Technology & Financial Services

Global Payments (TSYS) currently has 12 open roles on FindRole.

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At a glance

TL;DR · GTM Data Architect

The GTM Data Architect is a senior-level role within the Revenue Operations team at Global Payments, focusing on designing and scaling data flows through Salesforce to support Sales, Partner, Marketing, and Operations teams globally. This architect will build scalable data orchestration frameworks for lead, account, and opportunity routing, enrichment, deduplication, and lifecycle automation using tools like Ringlead and native Salesforce automation. They will also collaborate with Revenue Operations, Sales Ops, and IT to integrate Salesforce with Snowflake, ensuring reliable data synchronization and trusted analytics-ready datasets. Additionally, the role involves partnering with external data vendors for onboarding and operationalizing enrichment data, defining AI-driven approaches for lead scoring and predictive enrichment, and establishing governance standards for data quality and compliance across orchestration pipelines. The ideal candidate has extensive experience in Salesforce architecture, CRM data platforms, and Revenue Operations technology, along with hands-on expertise in data orchestration, routing, enrichment, and deduplication at scale.

What you'll do

  • Architect scalable data orchestration frameworks for lead, account, and opportunity routing in Salesforce.
  • Design multi-region orchestration patterns to support international go-to-market motions with compliance considerations.
  • Partner with teams to design Salesforce data models that maximize data integrity and seller efficiency.
  • Collaborate on integrations between Salesforce and Snowflake for reliable data synchronization and analytics-ready datasets.
  • Define AI’s role in data orchestration and enrichment, focusing on Revenue Operations use cases.

What we're looking for

  • 7+ years experience in Salesforce architecture or CRM data platforms.
  • Expertise in designing large-scale data orchestration and enrichment systems.
  • Hands-on experience with Salesforce (Sales Cloud preferred) and automation frameworks.
  • Strong background working with Snowflake and modern data pipelines.
  • Proven track record of partnering with third-party data providers for enrichment workflows.
  • Ability to translate business requirements into scalable technical architectures.
  • Experience applying AI or machine learning concepts to CRM or go-to-market data.

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