Mastercard Logo

Mastercard

Senior Principal Software Engineer, Data Architecture

Reposted 24 Days Ago
Be an Early Applicant
Hybrid
Harrison, NY
200K-368K Annually
Senior level
Hybrid
Harrison, NY
200K-368K Annually
Senior level
Lead the design of Mastercard's enterprise data architecture, modernize data platforms, and ensure compliance and operational excellence across global systems.
The summary above was generated by AI
Our Purpose
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.
Title and Summary
Senior Principal Software Engineer, Data Architecture
Overview:
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.
Role:
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.
Cross-Functional Leadership & Mentorship• 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.
All About You:• 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.• Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders.• Strong executive presence with the ability to translate complex architecture concepts into business language.• Experience mentoring and leading global, cross-functional teams of high-performing technical talent.• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required.
This role is not eligible for Mastercard's 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 [email protected] 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 Mastercard's 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 Mastercard's guidelines.

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. 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

Top Skills

Spark
AWS
Azure
Cloudera
Databricks
Delta Lake
Flink
GCP
Hadoop
Kafka
Nifi
Redshift
Snowflake

Mastercard New York, New York, USA Office

Mastercard’s NYC Tech Hub unites experts from diverse backgrounds and disciplines, from software development to finance, data architecture to cybersecurity and beyond, to build systems that never fail for a world that never stops.

Similar Jobs at Mastercard

Yesterday
Hybrid
New York, NY, USA
100K-164K Annually
Mid level
100K-164K Annually
Mid level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Product Manager-Technical will enhance developer experience, improve documentation, streamline onboarding, and drive product innovation. Collaborates with engineering and user experience teams to prioritize features and ensure high-quality software delivery.
Top Skills: Agile Delivery MethodologiesCloud-Native Software
Yesterday
Hybrid
Harrison, NY, USA
124K-199K Annually
Mid level
124K-199K Annually
Mid level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Manager, Customer Onboarding and Partnership will coordinate the implementation of global strategies, support regional development, and ensure adherence to processes, driving project completion and efficiency improvements.
Top Skills: Data Analysis
2 Days Ago
Hybrid
Harrison, NY, USA
150K-265K Annually
Mid level
150K-265K Annually
Mid level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Manager will lead advertiser development, manage merchant offers, oversee sales activities, and build relationships within the Commerce Media team.
Top Skills: ExcelMicrosoft Office SuitePowerPoint

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account