Senior GTM Data Engineer

Global Payments (TSYS)

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Work type
On-site
Location
Oklahoma City, OK
Posted
3 days ago

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How this pay compares to similar roles

Similar $174k
$124k most similar roles pay here $219k

This listing doesn't post a salary. Most similar roles pay $138,850–$210,112.

Based on 240 similar postings.

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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 · Senior GTM Data Engineer

The Senior GTM Data Engineer role within the Revenue Operations team involves collaborating closely with cross-functional partners to integrate, govern, and standardize sales data across various systems like CRM, Snowflake, BigQuery, Salesforce, Marketo/Pardot, and GA4. This individual will design scalable data models and pipelines in Snowflake and BigQuery, ensuring clean, business-ready data for revenue reporting and analytics. Key responsibilities include developing advanced dashboards using Power BI, conducting deep-dive analyses to generate actionable insights, and maintaining compliance with global consent management regulations like GDPR and CCPA. The role requires expertise in SQL, Python, Tableau, and Power BI, along with a strong understanding of sales metrics and attribution methodologies.

What you'll do

  • Design and maintain scalable data models in Snowflake and BigQuery to ensure business-ready sales data.
  • Build and optimize ELT workflows for reliability, performance, and cost efficiency in Snowflake.
  • Define and standardize governing sales data infrastructure across global teams for consistent key metrics.
  • Develop advanced dashboards and reports using Power BI for accurate and accessible sales analytics.
  • Conduct deep-dive data analysis to generate actionable insights on customer behavior and lifecycle performance.

What we're looking for

  • 6+ years experience in data analysis, reporting, or business intelligence within a sales context.
  • Strong understanding of sales metrics, customer lifecycle, and best practices.
  • Proficiency in SQL, Python, and data visualization tools like Tableau and Power BI.
  • Experience with data warehouses (Snowflake, BigQuery) and CRM systems (Salesforce).
  • Ability to communicate complex data concepts clearly to non-technical stakeholders.
  • Familiarity with marketing automation platforms and global consent management regulations.
  • Strong analytical skills and attention to detail in a fast-paced environment.

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