M
Mastercard
Principal Software Engineer (Data Architecture)
Skills
Google Cloud PlatformData EngineeringData ScienceKafkaSnowflakeDatabricksCybersecurityData AnalysisAIAWSWorkdayComplianceRegulatory ComplianceAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
$170,000 – $293,000 / year
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
13 August 2026
What they need
- Mastercard’s Data & Analytics organization is seeking a visionary Principal Software Engineer, Data Architecture to define and advance our global enterprise data architecture strategy
- Reporting to the Vice President of Data Engineering, this role serves as the senior technical authority for how data is architected, governed, secured, and enabled across Mastercard’s complex global ecosystem
- The successful candidate will establish the architectural vision for modernizing data platforms across hybrid cloud and on-premises environments, supporting both high-volume batch processing and low-latency, real-time workloads
- This leader will play a critical role in enabling Mastercard’s “Edge Everywhere, Run Anywhere” strategy, ensuring data platforms can be deployed consistently, securely, and at scale across diverse geographies and regulatory environments
- This position combines deep hands-on technical expertise with enterprise influence, driving architectural decisions that maximize the value of Mastercard’s data assets while meeting the highest standards for security, resiliency, compliance, and operational excellence
- Serve as the senior technical leader for enterprise data architecture, partnering closely with the VP and senior technology leadership
- Act as a trusted advisor to executive stakeholders, translating business strategy into scalable, secure, and resilient data architecture decisions
- Define and evolve Mastercard’s global data architecture strategy across hybrid cloud and on-premises environments
- Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements
- Champion Data Mesh principles, enabling data-as-a-product capabilities, federated ownership, governance, and self-service access
- Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board
- Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP
- Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms
- Enable both real time and batch analytics use cases to support high availability, mission critical workloads
- Evaluate and incorporate emerging technologies, including AI-enabled data platforms and agent-based architectures
- Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking
- 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- Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce
- Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments
- Proven experience as a Principal Engineer, Lead Architect, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy
- Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP
- Deep expertise designing, building, and operating distributed data systems at global scale
- Strong executive presence with the ability to translate complex architecture concepts into business language
- Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams
- Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders
- Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience
- Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences
- Strong hands-on experience with technologies such as Apache Spark, Kafka, Flink, NiFi, Databricks, Snowflake, and modern cloud-native data platforms
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