Lead Data Engineer

Mastercard is seeking a Lead Data Engineer to join Foundry R&D. The ideal candidate will have extensive data engineering experience and expertise in big data and cloud technologies, as well as experience in AI/ML data lifecycle knowledge and leadership skills.

Requirements

• 8-12+ years in data engineering or backend engineering, including senior/lead roles
• Bachelor's degree in Computer Science, Engineering, or related field
• Experience designing end-to-end data systems, solving scale/performance challenges, integrating diverse sources, and operating pipelines in production
• Strong skills in Python and/or Java/Scala
• Deep experience with Spark, Hadoop, Hive/Impala, and Airflow
• Hands-on work with AWS, Azure, or GCP using cloud-native processing and storage services (e.g., S3, Glue, EMR, Data Factory)
• Ability to design scalable, cost-efficient workloads for experimental and variable R&D environments
• Understanding of data needs for machine learning—dataset preparation, feature/label management, and supporting real-time or batch training pipelines
• Experience with feature stores or streaming data is useful
• Ability to translate ambiguous goals into clear plans, guide engineers, and lead technical execution
• Approach issues systematically, using analysis and data to select scalable, maintainable solutions

Benefits

• Competitive salary and benefits package
• Opportunities for career growth and development
• Collaborative and dynamic work environment