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. Our worldwide team helps over 3 million companies more than 1300 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.

Summary of This Role

What Part Will You Play

• Data Architecture & Modeling: Design and implement robust data models leveraging dimensional modeling principles to structure data for performance usability and scalability in reporting and analytics.
• Contribute in the development of efficient ETL processes data pipelines and workflows to transform integrate and load data from multiple sources into the data lake.
• Help solution and optimize data lake solutions that support high query performance and can scale with increasing data volume and complexity.
• Data Governance & Quality: Develop and enforce data quality standards including validation transformation and cleansing rules to ensure data accuracy and consistency across the organization.
• Performance Tuning: Perform detailed performance tuning of ETL processes and query optimization to improve data processing speeds and reduce latency in data access.

What Are We Looking For in This Role

Minimum Qualifications

• BS in Computer Science Information Technology Business / Management Information Systems or related field
• Typically minimum of 2 years - Professional Experience In Coding Designing Developing And Analyzing Data. Typically has a basic knowledge and use of one or more languages / technologies from the following but not limited to; two or more modern programming languages used in the enterprise experience working with various APIs external Services experience with both relational and NoSQL Databases
• Expertise in designing star schemas snowflake schemas and other dimensional models per Kimball methodology.
• Proven experience with ETL frameworks data pipeline design and data warehousing technologies such as Snowflake BigLake BigQuery or similar platforms.
• SQL Proficiency: Deep understanding of SQL query optimization and performance tuning.
• Programming Knowledge: Strong proficiency in languages such as Python Java or Scala for data processing and pipeline development.
• Experience with Big Data: Familiarity with big data technologies (e.g. Spark Kafka DBT Iceberg Parquet) is a plus.

Preferred Qualifications

• BS in Computer Science Information Technology Business / Management Information Systems or related field
• 4 years professional Experience In Coding Designing Developing And Analyzing Data
• Familiarity with OpenTelemetry
• Basics to advance level of AI/ML knowledge.

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 .