Principal Software Engineer, Data Architecture
Mastercard1 day ago
Arlington, VA, USAStaff+
Base Salary
$195k - $323k/yr
Responsibilities
- Serve as the senior technical leader for enterprise data architecture and advise executive stakeholders on scalable, secure, and resilient architecture decisions.
- Drive the technical vision and architecture for enterprise data onboarding, exchange, discovery, and consumption capabilities.
- Develop platform roadmaps balancing immediate business needs with long-term scalability, reuse, and innovation.
- Establish enterprise architecture standards, design patterns, and engineering best practices through the Data & Analytics Architecture Review Board.
- Drive adoption of Databricks, Snowflake, Delta Lake, streaming platforms, and emerging AI-enabled data platform technologies.
- Mentor and influence global engineering teams while fostering technical excellence, accountability, and thoughtful risk taking.
Requirements
- 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 on-premises and cloud environments.
- Experience with Spark, Kafka, Flink, NiFi, Hadoop/Cloudera, Databricks, and modern cloud-native data services.
- Experience integrating AI-driven capabilities into data platforms with governance and guardrails, including agentic commerce use cases.
- Experience building reusable platforms serving multiple products, teams, or business domains.
- Strong understanding of data governance, security, and regulatory compliance in highly regulated global environments.
- Ability to lead and influence architectural initiatives while partnering with product, engineering, business, and executive stakeholders.
- Strong executive presence and communication skills, including the ability to translate complex technical concepts for non-technical audiences.
- Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.
Benefits
- Full-time employee benefits generally include medical, prescription drug, dental, vision, disability, and life insurance.
- Benefits include flexible spending and health savings accounts, paid leave, vacation time, personal days, paid holidays, and a 401(k) with company match.
- Additional benefits may include deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, and tuition reimbursement.
- The role is based in Arlington, Virginia, with a listed base salary range of $195,000–$323,000 USD.
- The role is not eligible for employer work authorization sponsorship, and candidates must be authorized to work in the United States now and in the future without sponsorship.
Tech Stack
Categories
Data Engineering
About Mastercard
Mastercard builds and operates a global payments network used by banks, merchants, fintechs, and governments, offering card processing, real-time payments, tokenization, and fraud/risk services. It generates revenue from transaction processing and assessment/service fees across more than 200 countries and territories. Founded in 1966 and headquartered in Purchase, New York, Mastercard is a public company listed on the NYSE (ticker: MA).