Senior Solution Engineer, Master Data Management (MDM) - Reltio

Global Payment Holding CompanyAlpharetta, GA

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. Make your mark at one of the biggest names in payments. We're looking for an MDM (Reltio) Solution Engineer to join our ever-evolving Data & AI team and help shape the future of global commerce. In this role, you will build the trusted data foundation that powers critical business decisions across Global Payments, enabling accurate customer and merchant insights, stronger risk and compliance outcomes, and more effective business operations. You will play a key role in designing, building, and integrating enterprise Master Data Management capabilities that establish a single source of truth across the enterprise, transforming fragmented customer and merchant data into trusted golden records. Working alongside data modelers, architects, product owners, data governance teams, and business stakeholders, you will help modernize and scale our enterprise data ecosystem by delivering data models, identity resolution capabilities, data quality solutions, stewardship workflows, and integrations that power analytics, compliance, operations, and business growth. As part of a highly collaborative and forward-thinking team, you will influence enterprise-wide data strategy, support modernization initiatives, and contribute directly to Global Payments' mission of delivering exceptional solutions that power commerce around the world.

Requirements

  • 5+ years of hands-on experience delivering enterprise Master Data Management solutions, including data modeling, match and merge, survivorship, stewardship workflows, golden record management, identity resolution, hierarchies, crosswalks, and reference data management.
  • Strong expertise in conceptual, logical, and physical data modeling with experience designing scalable MDM solutions that support complex business and integration requirements.
  • Strong knowledge of core MDM concepts including golden records, entity resolution, survivorship, hierarchy management, crosswalks, stewardship, reference data, and data quality management.
  • Experience designing and implementing APIs, integration hubs, connectors, ETL/ELT pipelines, and event-driven integration patterns that connect enterprise applications and data platforms.
  • Proficiency in SQL and experience working with cloud-based data platforms such as Snowflake to profile, validate, analyze, and optimize enterprise data assets.
  • Experience implementing data quality, standardization, validation, matching, enrichment, and identity resolution processes that improve accuracy, consistency, and completeness of enterprise data.
  • Demonstrated success translating business requirements into scalable technical solutions while collaborating with architects, product owners, governance teams, QA partners, business stakeholders, and data stewards.
  • Experience working in Agile delivery environments using Jira, Azure DevOps, source control, sprint planning, user stories, and continuous delivery practices.
  • Strong troubleshooting, debugging, production support, performance optimization, and problem-solving skills with excellent communication and collaboration capabilities.
  • Ability to see the bigger picture and understand how master data supports enterprise processes, analytics, customer experience, AI readiness, compliance obligations, and downstream business outcomes.

Nice To Haves

  • Experience with Reltio Master Data Management platform implementations, certifications, platform configuration, and enterprise-scale MDM modernization programs.
  • Experience migrating or modernizing MDM platforms, including data migration, reconciliation, validation, and platform convergence initiatives.
  • Knowledge of payments, merchant acquiring, financial services, merchant hierarchies, Know Your Customer (KYC), Customer Due Diligence (CDD), risk, and compliance processes.
  • Experience with cloud-native data ecosystems, automated data pipelines, Snowflake, Python, and modern data engineering practices.
  • Experience with graph-based data models, AI/ML-assisted data quality, identity resolution, and modern data architecture patterns.
  • Familiarity with data governance frameworks, stewardship operating models, privacy requirements, regulatory controls, and enterprise data management best practices.

Responsibilities

  • Design, configure, and evolve enterprise Master Data Management capabilities including entity models, relationships, hierarchies, crosswalks, reference data management (RDM), and trusted golden record creation for customer, merchant, and party data.
  • Drive data quality and identity resolution outcomes by implementing matching, merging, survivorship, validation, standardization, cleansing, enrichment, confidence scoring, and monitoring processes that improve trust in enterprise data assets.
  • Build scalable integrations and data pipelines using APIs, ETL/ELT processes, integration hubs, connectors, and event-driven architectures to seamlessly ingest, transform, and distribute trusted master data across enterprise platforms.
  • Develop stewardship and governance capabilities including stewardship workflows, lineage, data categorization, hierarchy management, and reference data controls that improve transparency, accountability, and trust in enterprise data.
  • Support enterprise modernization and migration initiatives through data migration, reconciliation, platform transition activities, validation testing, and continuous improvement efforts that strengthen enterprise MDM capabilities.
  • Deliver operational excellence across the platform lifecycle by supporting solution design, testing, deployment, troubleshooting, performance tuning, production support, documentation, and business user enablement.
  • Contribute to Agile delivery and continuous improvement through sprint planning, user stories, DevOps practices, technical documentation, and close collaboration with cross-functional teams.
  • Enable enterprise-wide data-driven decision making by establishing trusted data foundations that support analytics, reporting, AI initiatives, risk management, regulatory compliance, and business growth strategies.

Benefits

  • A competitive salary and benefits package that recognizes your contribution
  • Opportunities to grow your skills and build your career within a global business
  • Access to learning, development and on-the-job experiences that expand your expertise
  • A supportive, inclusive team environment where your ideas and input matter
  • Time to give back through community and charity initiatives
  • A global employee assistance programme to support your wellbeing
  • Recognition through a global platform that celebrates your achievements
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