Senior / Lead Data Engineer (AI & Data Platform)

About the role

Mastercard Foundry R&D is looking for a Senior / Lead Data Engineer to shape its AI innovation roadmap. You will design and build scalable, data‑driven prototypes and products that support AI and generative AI workloads.

Key responsibilities

• Own data architecture and modeling strategy for AI projects, defining storage, organization, and access patterns.
• Lead the development of robust ETL/ELT pipelines and data models that move large datasets with high reliability and low latency.
• Oversee data quality, governance, and compliance, implementing anonymization, lineage, and controls for sensitive data.
• Provide hands‑on technical leadership, conduct code reviews, enforce best practices, and improve development tooling.
• Collaborate cross‑functionally with engineers, data scientists, and product stakeholders to deliver data components in agile sprints.

Required profile

• 8–12+ years of experience in data engineering or backend engineering, including senior or lead roles.
• Proven ability to design end‑to‑end data systems, solve scale and performance challenges, and operate production pipelines.
• Experience working in fast‑moving R&D environments with experimental workloads.

Required skills

• Python, Java, Scala
• Apache Spark, Hadoop, Hive, Impala
• Airflow
• Cloud platforms: AWS, Azure, GCP
• Cloud services: S3, Glue, EMR, Data Factory