Senior GTM Data Engineer

Global Payments Inc.•Oklahoma City, OK

About The Position

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. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow. As a part of the Revenue Operations team, the Senior GTM Data Engineer will be a strategic partner to the sales and data orchestration data teams, creating business-ready tables, leveraging data-driven insights to shape and optimize sales strategies and campaigns. This role is integral to optimizing the data infrastructure that supports sales analytics, ensuring data integrity, and enabling scalable and efficient access to sales data. The Senior GTM Data Engineer will focus on designing scalable pipelines, translating complex data into meaningful narratives that inform decision-making and drive business growth, and guiding data strategy through deep analysis and advanced data visualization. With a strong understanding of data normalization strategies, attribution methodologies, sales and partner metrics, the customer lifecycle, and industry best practices, this individual will collaborate closely with cross-functional teams to ensure that data-driven insights are at the forefront of sales initiatives. The role requires a proactive approach to enhancing sales performance through data manipulation, exploration, reporting, and strategic recommendations.

Requirements

Bachelor’s degree in Business, Statistics, Data Analytics, Data Science or a related field.
6+ years of experience in data analysis, reporting, or business intelligence, preferably within a sales context.
Strong understanding of sales metrics, customer lifecycle, and best sales practices.
Experience with data visualization tools such as Tableau, Power BI, Looker, or similar platforms.
Familiarity with querying and analyzing data from data warehouses (e.g., Snowflake, BigQuery) and advanced knowledge of data tools like Tableau, PowerBI, Looker, Salesforce Data Studio, Excel, and Power Query.
Proficiency in SQL and Python for querying databases and preparing data for analysis.
Proficiency in data analysis techniques, including data cleansing, joining, and exploratory analysis.
Experience with data visualization best practices and creating engaging visual reports and dashboards.
Strong analytical and problem-solving skills, with attention to detail.
Ability to communicate complex data concepts clearly to non-technical stakeholders.
Experience with attribution modeling and multi-touch revenue analysis
Familiarity with marketing automation platforms and CRM systems (e.g., Salesforce, Marketo, Pardot, etc).
Knowledge of forecasting techniques and sales analytics frameworks.
Familiarity with global consent management regulations (e.g., GDPR, CCPA) and data privacy best practices.
Proficiency in data extraction, manipulation, and analysis using tools like SQL, Python, Excel, or data visualization platforms (e.g., Tableau, Power BI).
Experience working with segmentation tools and platforms (e.g., Salesforce, CDP, Google Analytics, RingLead, ZoomInfo, Equifax, etc).
Strong analytical and problem-solving skills with a keen attention to detail.
Excellent communication skills to collaborate with cross-functional teams and present insights effectively.
Ability to work independently and prioritize tasks in a fast-paced environment.
Understanding of marketing strategies, lead management processes, and audience targeting best practices.
Familiarity with B2B marketing and revenue generation strategies.

Nice To Haves

Experience with Customer Data Platforms (CDP) and advanced segmentation techniques.
Background in working with or supporting multi-regional sales teams.
Data Visualization experience, is a plus. Leveraging best practices and creating engaging & interactive visual reports and dashboards.
Experience with Customer Data Platforms (CDPs) and data integration concepts, is a plus
Experience with data science tools and techniques, such as R or Python, is a plus.

Responsibilities

Serve as primary liaison with cross functional partners such as GTM & Commercialization, Marketing Technology & Operations, Enterprise Data, Finance/BI, Product & Technology, Sales, Operations, and Partners to integrate, govern, and standardize sales data across GTM systems (CRM, Snowflake, BigQuery, Salesforce, Marketo/Pardot, GA4, and other sales technologies).
Own the design, development and maintenance of scalable data models and architecture in Snowflake, BigQuery, DBT, and related tools to ensure clean, business-ready, and well-documented data assets to power revenue reporting, forecasting and analytics.
Build and optimize data pipelines and ELT workflows in Snowflake, ensuring reliability, performance, and cost efficiency.
Define, standardize, and maintain governing sales data infrastructure, ensuring consistency of key metrics, taxonomies, and architecture across global sales teams.
Partner with Finance, BI, Sales Operations and Marketing Operations to develop, refine, and operationalize sales attribution methodologies that connect pipeline and revenue outcomes.
Monitor, validate, and optimize data flows and integrations, establishing QA processes, anomaly detection, and documentation to ensure accuracy and trustworthiness of data.
Lead data stewardship efforts, supporting data governance, compliance, and integration standards across platforms and global teams.
Extract, refine, and manage complex campaign and audience lists for segmentation, targeting, and activation; ensure accuracy, compliance, and alignment with ICP definitions and sales objectives.
Build, analyze, and optimize audience segments across platforms (e.g., Salesforce, ZoomInfo, CDPs) to support global sales campaigns and demand generation efforts.
Conduct deep-dive data analysis, combining multiple systems and large datasets to generate actionable insights on customer behavior, lifecycle performance, and sales ROI.
Build and maintain advanced dashboards and reports in Power BI and other visualization platforms, ensuring accessibility, accuracy, and usability for sales stakeholders and executives.
Support ad hoc analysis requests, executive scorecards, and MBR/QBR reporting to evaluate sales performance and business impact.
Provide elevated team leadership by mentoring and supporting colleagues on complex data pulls, insights analysis, dashboard design, segmentation, and systems requirements.
Act as a cross-functional liaison, bridging revenue operations with enterprise data, technology, and business stakeholders to align on data strategy, requirements, and execution.
Proactively explore new technologies, tools, and best practices to advance sales and marketing data operations, segmentation, and performance reporting capabilities.