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. 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. Purpose : This role will interface directly with Product organization and be responsible for eliciting and documenting data requirements, translating them to technical designs and developing solutions in the most appropriate cloud technology. This role will be expected to build strong partnerships with our business customers, work collaboratively with cross functional teams and inspire trust and confidence . Essential Duties: Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and GCP regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Will analyze data, profile data, validate patterns, develop hypotheses on data and prove our hypothesis. Will manage queries to databases and construct prototype analysis and use cases reports to aid in the design and enable agile development. Will provide data sourcing, mapping, and complex formulation to derive critical company KPI’s Will conceptualize data sources and compile logical diagrams documenting the database content to business users Will drive the process to document and maintain the data dictionary for the company detailing both Attribute and Measure definitions of the company Will investigate and assess issues to accurately estimate budget and schedule requirements and avoid scope creep. Will lead the team through a successful project implementation to accurately predict department accomplishments Other Duties: Will function as a subject matter expert to leader and internal and external customers Will recruit and lead Data Stewards to help define the measures and compile the correct definition of these measures and attributes Help Build Machine Learning Predictive Models Required Qualifications : Bachelor’s Degree in Computer Science or equivalent professional experience 10 years of experience with relevant technology architecture consulting or industry experience to include Information delivery, Analytics and Business Intelligence based on data from a hybrid of Hadoop Distributed File System (HDFS), non-relational (NoSQL, Cassandra) and relational Data Warehouses. 10 years of experience with data lake implementations, core modernization and data ingestion and Big data technologies. 10 years of hands-on experience with data integration products like Informatica , SSIS , Abinitio,Talend etc and leading and managing project teams 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. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resources Department. 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. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resources Department.