Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 76 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Mastercard International Incorporated paid sponsored hires in similar roles1 certified filing for “Data Engineer” (Software Developers) in VA: $126k–$126k, median $126k.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 76 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Mastercard International Incorporated paid sponsored hires in similar roles
- 1 certified filing for “Data Engineer” (Software Developers) in VA: $126k–$126k, median $126k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
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
Principal Software Engineer, Data Architecture
Overview:
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.
Role:
• 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.
All About You:
• Proven experience as a Principal Engineer, Lead Architect, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy.
• Deep expertise designing, building, and operating distributed data systems at global scale.
• Strong hands-on experience with technologies such as Apache Spark, Kafka, Flink, NiFi, Databricks, Snowflake, and modern cloud-native data platforms.
• Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP.
• Experience integrating AI driven capabilities into data platforms, with a
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