Manager, Data Engineering

Manager, Data Engineering 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 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 #J-18808-Ljbffr Mission+