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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer, Data Architecture - **Company:** Mastercard - **Location:** Arlington, VA, United States - **Salary:** $195,000.0 - $323,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Big Data, Cyber Security, Data as a Services, Data Architecture, Information Engineering, Data Governance, Software Design Patterns, Distributed Systems, Apache Hadoop, Cloudera, Data Streaming, Enterprise Data Management, Cloud Platform System, Snowflake, Apache Spark, Data Lakes, Information Technology, Apache Flink, Data Analytics, Enterprise Integration, Apache Kafka, Apache Nifi, Data Management, Databricks - **Published:** September 11, 2026 - **Apply:** https://mastercard.wd1.myworkdayjobs.com/CorporateCareers/job/Arlington-Virginia/Principal-Software-Engineer--Data-Architecture_R-290228 ## About the Role * Proven experience as a Principal Engineer, Lead Architect, Lead Engineer, or equivalent technical leadership role driving enterprise-scale data architecture and platform strategy. * Extensive experience architecting and building large-scale data platforms, distributed systems, and enterprise integration solutions across both on-premises and cloud environments, leveraging technologies such as Spark, Kafka, Flink, NiFi, Hadoop/Cloudera, Databricks, and modern cloud-native data services. * Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce. * Experience building reusable platforms that serve multiple products, teams, or business domains. * Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments. * 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. * Strong executive presence with the ability to translate complex architecture concepts into business language. * Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non-technical audiences. * Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams. * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience. 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. ## Description 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 will lead the design and evolution of strategic platforms that simplify how external data is securely exchanged with Mastercard and enable product teams, consultants, and analysts to more easily discover, access, and leverage enterprise data. The successful candidate will establish the architectural vision for platforms that transform complex, fragmented data processes into scalable, self-service experiences that accelerate innovation and unlock greater value from Mastercard's data assets. 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. * Drive the technical vision and architecture for enterprise data onboarding, exchange, discovery, and consumption capabilities. * Develop roadmaps that balance immediate business needs with long-term platform scalability and reuse. * Establish and drive enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board. * Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms. * 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 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)