Mastercard Services Technology is seeking a Manager, Data Engineering to lead the delivery of data solutions that power client engagements across Test & Learn and other Services products. In this role, you will manage a team of Data Engineers responsible for designing, building, and maintaining scalable data pipelines and enterprise data solutions that enable impactful business insights for clients worldwide. The Test & Learn team aims to build industry-leading business experimentation software that brings sophisticated analytic techniques to business users around the world. We are rapidly expanding our product offerings and innovating on how we deliver Test & Learn solutions to our clients. This is a hybrid role based in Arlington, VA, with an expectation of three days per week onsite. Role: - Lead, mentor, and develop a team of 4–10 Data Engineers, fostering accountability, collaboration, innovation, and continuous learning. - Drive end-to-end delivery of high-quality, scalable data solutions across multiple clients, industries, and concurrent projects. - Own the design, development, automation, and maintenance of large-scale enterprise ETL and data integration pipelines supporting a global client base. - Lead Agile team operations including goal setting, sprint planning, capacity management, work allocation, and retrospectives. - Provide ongoing coaching, performance management, and career development support to team members. - Serve as a technical leader and subject matter expert in data architecture, engineering standards, and solution design. - Partner with analytics teams, product managers, and business stakeholders to translate requirements into scalable data solutions. - Leverage SQL and modern database technologies to optimize performance, streamline processing, and manage large-scale datasets efficiently. - Define and enforce engineering best practices including version control, code reviews, testing frameworks, monitoring, and data quality controls. - Identify and drive automation and process improvement initiatives that enhance efficiency, scalability, and reliability of data delivery. - Build and maintain strong relationships with internal and external stakeholders across global teams and client organizations. - Ensure compliance with Mastercard policies, security standards, and applicable regulatory and regulatory requirements. All About You: - Proven experience in Data Engineering or a related field, with strong expertise in data architecture, data modeling, database design, and scalable data solutions. - Prior people management experience is preferred. Candidates with strong leadership experience in a team lead or senior individual contributor capacity may also be considered. - Strong track record of delivering complex initiatives while balancing competing priorities and stakeholder needs. - Advanced SQL skills, including performance tuning, query optimization, and large-scale data processing. - Deep hands-on experience with Microsoft SQL Server and relational database technologies. - Experience designing, implementing, and maintaining ETL pipelines and data integration frameworks. - Experience with Databricks, Spark, or modern cloud-based data platforms is a plus. - Interest in emerging engineering productivity tools and AI-assisted development technologies (e.g., GitHub Copilot), with a willingness to explore and adopt new capabilities. - Strong analytical and problem-solving skills, with the ability to think strategically and drive innovation. - Experience managing projects, people, and delivery processes while ensuring quality, accuracy, and operational excellence. - Exceptional communication and stakeholder management skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. - Bachelor's degree in Engineering, Computer Science, Mathematics, Finance, Business, or a related quantitative discipline; equivalent practical experience will also be considered. This role is not eligible for Mastercard’s work authorization sponsorship. Candidates must be authorized to work in the United States now and in the future without employer sponsorship. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonableaccommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.