Lead, Data Engineer

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 Lead, Data Engineer Lead, Data Engineering Who is Mastercard? We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. What is the AI Ops team? The AI Ops team uses AI, machine learning, and data science techniques to detect anomalies, predict impact, and initiate remediation. The team creates insights—in the form of dashboards, reports, and alerts—from operations data and helps stakeholders make data-driven decisions for planning, troubleshooting, or monitoring application health.

The Lead Data Engineer, AI Ops serves as a technical leader responsible for designing, building, and evolving scalable data solutions that support operational visibility, analytics, and intelligent decision-making across AI Ops, SRE, infrastructure, and software engineering teams. This role provides technical direction, partners closely with stakeholders, and applies deep expertise to improve products, processes, and engineering practices. The position also helps establish standards for data quality, security, and resiliency while mentoring team members and contributing to strategic roadmap planning and innovation. The position is a critical component to bringing the ONE Data Lake to life. Key Responsibilities • Act as a subject matter expert in data engineering, providing technical leadership and influencing stakeholders to support team priorities, solution development, and continuous improvement. • Conduct thorough code reviews and provide constructive feedback to promote engineering standards, maintainability, and overall solution quality. • Design, develop, and maintain scalable data pipelines and solutions that meet expectations for performance, data quality, security, observability, and operational resilience. • Develop and maintain technical documentation such as requirements, solution designs, test strategies, and deployment, migration, and rollback plans to support reliable delivery. • Document technical solutions, processes, standards, and methodologies to support knowledge sharing, reproducibility, governance, and continuous improvement. • Stay current with data engineering tools, frameworks, and industry best practices, and help drive adoption of improvements that enhance platform capabilities and operational efficiency. • Contribute to solution and technology roadmaps by supporting strategic planning, modernization efforts, and innovation while reinforcing best practices in data quality, testing, and security. • Perform some ML Engineering related tasks such as operationalizing models and deploying them • Mentor and support junior team members through coaching, work reviews, and knowledge sharing, helping build technical capability and a culture of continuous improvement. Required Skills and Experience • Significant experience in data engineering, including the design and operation of scalable data pipelines, platforms, and integrations across structured, semi-structured, and unstructured data. • Demonstrated ability to lead technical design efforts, conduct code reviews, and