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Senior Principal Software Engineer, Data Architecture
Senior Principal Software Engineer, Data ArchitectureMastercard • Arlington, VA, US
Senior Principal Software Engineer, Data Architecture

Senior Principal Software Engineer, Data Architecture

Mastercard • Arlington, VA, US
2 days ago
Job type
  • Full-time
  • Part-time
Job description

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're 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._

  • Senior Principal Software Engineer, Data Architecture

Mastercard's Data & Analytics is seeking a visionary and results-oriented Senior Principal Software Engineer, Data Architecture to lead the design and evolution of Mastercard's enterprise data architecture.

This foundational technical role is responsible for defining how data is collected, organized, governed, and distributed across Mastercard's 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 Mastercard's Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem-unlocking value through secure, scalable, and compliant data capabilities.

Data Architecture Strategy & Execution

  • 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.
  • Governance, Alignment & Agile Integration

  • 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.

  • Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions.
  • Proven experience as a Senior Principal Engineer or equivalent in enterprise data architecture, data engineering, or data platform strategy.

  • Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera / Hadoop.
  • Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift.
  • Experienced in designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP).
  • Knowledge of Data Mesh principles, federated governance, and data product lifecycle management.
  • Experience working in Agile environments, leveraging modern delivery practices like Scrum, SAFe, or product-centric models.
  • Track record of leading large-scale data transformations and platform modernization initiatives in regulated industries such as Payments, Fintech, or Banking.
  • Understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates.
  • Strong executive presence with the ability to translate complex architecture concepts into business language.
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required.
  • 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. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. 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 Mastercard's security policies and practices;
  • Report any suspected information security violation or breach, and
  • In line with Mastercard's 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. 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; 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; S. observed holidays; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement;
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    Senior Principal Software Engineer • Arlington, VA, US

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