Senior Principal Software Engineer, Data Architecture

Our Purpose _Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, weu2019re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ Title and Summary Senior Principal Software Engineer, Data Architecture Overview: Mastercardu2019s Data & Analytics is seeking a visionary and results-oriented Senior Principal Software Engineer, Data Architecture to lead the design and evolution of Mastercardu2019s enterprise data architecture. This foundational technical role is responsible for defining how data is collected, organized, governed, and distributed across Mastercardu2019s global infrastructure. Reporting to the EVP of Data & Analytics, this engineer will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment. The Mastercardu2019s Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystemu2014unlocking value through secure, scalable, and compliant data capabilities. Role: Data Architecture Strategy & Execution u2022 Lead the design and execution of Mastercardu2019s enterprise data architecture across a complex, global ecosystem. u2022 Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. u2022 Architect scalable, secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR). u2022 Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units. u2022 Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems. u2022 Champion adoption of modern data principles including Data Mesh, data products, and federated governance. Governance, Alignment & Agile Integration u2022 Serve as a key technical leader on the Data & Analytics Architecture Review Board to ensure alignment across programs and domains. u2022 Collaborate with Mastercardu2019s Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards. u2022 Apply Agile methodologies to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration. u2022 Represent Data & Analytics in enterprise architecture councils, steering committees, and executive planning forums. Cross-Functional Leadership & Mentorship u2022 Lead and scale technical excellence by mentoring engineers, architects, and technical experts across distributed systems, cloud platforms, and data modeling. u2022 Act as a trusted advisor to business, product, and engineering leadersu2014bridging technical strategy with enterprise priorities. u2022 Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. All About You: u2022 Proven experience as a Senior Principal Engineer or equivalent in enterprise data architecture, data engineering, or data platform strategy. u2022 Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. u2022 Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift. u2022 Experienced in designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP). u2022 Knowledge of Data Mesh principles, federated governance, and data product lifecycle management. u2022 Experience working in Agile environments, leveraging modern delivery practices like Scrum, SAFe, or product-centric models. u2022 Track record of leading large-scale data transformations and platform modernization initiatives in regulated industries such as Payments, Fintech, or Banking. u2022 Understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates. u2022 Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. u2022 Strong executive presence with the ability to translate complex architecture concepts into business language. u2022 Experience mentoring and leading global, cross-functional teams of high-performing technical talent. u2022 Bacheloru2019s degree in Computer Science, Data Engineering, Information Systems, or a related technical field required. This role is not eligible for Mastercardu2019s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #LI-NF1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: + Abide by Mastercardu2019s security policies and practices; + Ensure the confidentiality and integrity of the information being accessed; + Report any suspected information security violation or breach, and + Complete all periodic mandatory security trainings in accordance with Mastercardu2019s guidelines. In line with Mastercardu2019s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Pay Ranges Arlington, Virginia: $230,000 - $368,000 USD Boston, Massachusetts: $230,000 - $368,000 USD Miami, Florida: $200,000 - $320,000 USD Purchase, New York: $230,000 - $368,000 USD

Created: 2025-10-20