Director, Software Engineering
$195,000–$323,000 year
HybridArlington, Virginia, United States
Job Summary
Lead engineering teams responsible for ingesting, transforming, and managing large-scale data assets that power analytics and customer-facing insights. Build and scale modern data platforms, APIs, and applications supporting experimentation, measurement, reporting, and advanced analytics use cases. Partner closely with Product, Data Science, and Analytics teams to translate business needs into scalable technical solutions while championing improvements in developer experience and engineering tooling. Lead modernization efforts leveraging cloud technologies, AI-enabled workflows, and automation to improve speed, quality, and customer outcomes. Manage a global organization of approximately 25 engineers across the United States, India, and Europe, coaching and developing engineers and engineering leaders. Navigate complex cross-team dependencies, identify technical risks, and drive alignment across stakeholders to deliver measurable customer and business value. This hybrid role is based in Arlington, VA and requires three days per week onsite.
Required Qualifications
- Proven experience as an Engineering leader in an agile, production-scale environment
- Experience leading multiple engineering teams and developing engineering leaders in a global, distributed setup
- Strong track record of defining architecture, design, and delivery of large-scale, multi-team systems
- Hands-on familiarity with full-stack, data, and cloud technologies such as Databricks, AWS (Data Services + Agentic/ML Services including EMR, Agent Core, Bedrock etc), .NET/C#, Java, Spring Boot, React, Python, Spark, or similar
- Strong technical foundation with ability to quickly learn and adopt new technologies
- Relentless focus on customer value, business outcomes, and delivery excellence
- Experience improving engineering organizations, structures, and delivery processes at scale
- Ability to influence across teams, functions, and geographies to drive technical alignment
- Proven success leading distributed global teams across multiple regions
- Strong understanding of SDLC methodologies (Scrum, Kanban, SAFe) and when to apply them
- Proven ability to build, mentor, and retain high-performing engineering leaders
- Excellent communication and storytelling skills, with the ability to influence executive, business, and technical stakeholders
- Strong analytical thinking and decision-making capabilities in ambiguous and complex environments
- Bachelor's degree in engineering, Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience
- Must be available for three days per week onsite
- Must be based in Arlington, VA
- Must be able to manage a global organization of approximately 25 engineers and engineering leaders
- Must be able to lead teams responsible for data ingestion, data engineering and data pipelines, custom analytics, and insight delivery
- Must be able to partner closely with Product, Data Science, Analytics, and business stakeholders
- Must be able to lead modernization efforts leveraging cloud technologies, AI-enabled workflows, and automation
- Must be able to champion improvements in developer experience, engineering tooling, and best practices
- Must be able to identify, assess, and mitigate technical risks
- Must be able to foster a culture of innovation, experimentation, and continuous technical learning
- Must be able to set high standards for engineering excellence and elevate team performance
- Must be able to navigate complex cross-team dependencies and drive alignment across stakeholders
- Must be able to promote agile ways of working and enable teams to adapt quickly to changing priorities and insights
- Must be able to engage and influence senior stakeholders on technology direction and product decisions
- Must be able to anticipate and plan for future scaling needs aligned with business growth and customer demand
- Must abide by Mastercard's security policies and practices
- Must ensure the confidentiality and integrity of the information being accessed
- Must report any suspected information security violation or breach
- Must complete all periodic mandatory security trainings in accordance with Mastercard's guidelines
Desired Qualifications
- Experience leading teams responsible for data ingestion, data engineering and data pipelines, custom analytics, and insight delivery (over time)
- Experience owning key customer-facing products and experiences (over time)
- Experience helping shape the future vision and technology strategy for the BEO platform (over time)
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