Data Engineer

• Lead the design and execution of Mastercard’s enterprise data architecture across a complex, global ecosystem.
• Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms.
• Architect scalable, secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR).
• Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units.
• Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems.
• Champion adoption of modern data principles including Data Mesh, data products, and federated governance.
• Serve as a key technical leader on the Data & Analytics Architecture Review Board to ensure alignment across programs and domains.
• Collaborate with Mastercard’s Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards.
• Apply Agile methodologies to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration.
• Represent Data & Analytics in enterprise architecture councils, steering committees, and executive planning forums.
• Lead and scale technical excellence by mentoring engineers, architects, and technical experts across distributed systems, cloud platforms, and data modeling.
• Act as a trusted advisor to business, product, and engineering leaders—bridging technical strategy with enterprise priorities.
• Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions.

Senior Principal Software Engineer, Data Architecture

Senior Analyst, Enterprise Data Architect