Senior Platform Engineer
MastercardO'Fallon, MissouriPosted 22 March 2026
Job Description
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Platform Engineer Overview • Provide world-class support and expertise to all of MasterCard’s Big Data environments. • Provide Big Data thought leadership and technology roadmaps to support MasterCard’s vision and evolution. Purpose of the Job • Represent MasterCard’s Big Data Engineering team as a subject matter expert. • Support MasterCard’s present Big Data infrastructures. • Integrate new technologies and platforms into current environments as technologies evolve and demands change. Who would be the best fit for this role – eg: • What technologies do you have hands-on experience with, and what degree is that experience? • In your current role, what new Big Data technologies have you integrated into your current environment and how? • What experience do you have with migrating users and applications from traditional infrastructure and technologies to newer Big Data platforms? Role • Work directly with application and development teams to completely understand all requirements for project and ad hoc requests and provide accurate estimates. • Participate in a team of technical subject matter experts that provides 24x7 operational support of mission-critical Big Data environments for highly-available and contingent platforms. • Create and maintain documentation and define department best practices in support of proper change management, security and operational requirements. • Investigate and understand new technologies and additional capabilities of current platforms that support MasterCard’s vision of Big Data, leading their adoption when appropriate. • Educate peers and cross-train teammates with Big Data concepts and application of technology to serve business needs • Interact with managed services resources and direct maintenance and operational support activities per MasterCard standards and industry best-practices. All About You Essential Knowledge, Skills and Experience • Strong knowledge of Hadoop platforms and other distributed data processing platforms. • Linux/Unix and system administration: Advanced Linux knowledge is a must. Understanding of shell, debugging things etc. The candidate should be able to get their way around Linux and get things to work. • Strong background in delivering mission-critical Big Data project work while interacting with diverse and experienced teammates across the spectrum of enterprise operational functions. • Troubleshooting: The candidate must be able to engage in solving complex problems. Programming problems are a good example. • Programming: Good in one programming language. Java would be preferable. If not Java, the candidate must have a good handle on one language and display the ability to pick up a new one if required. Experience on programming infrastructure management or automation tools is a big plus. • Communication skills: Excellent written and verbal communication skills – can communicate up to executive level. This comprises of clear and concise articulation of thoughts. Desirable or Additional Capabilities • Understanding of and experience with network engineering in support of large IT organizations. • Knowledge in statistics and machine learning would be highly beneficial: The candidate should have a strong developed mentality with a focus on measuring and metrics • Knowledge and hands-on experience with Kubernetes, as well as automation using tools (e.g. Python, Ruby, Chef, Ansible) is a plus. • Background in ETL. Practical experience dealing w ... (truncated, view full listing at source)
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