Lead, Big Data Analytics & Engineering

About the role

The Lead, Big Data Analytics & Engineering role is a senior technical leadership position responsible for data engineering, data unification, and large‑scale analytics enablement across Mastercard’s enterprise data assets. The role builds a single, trusted, and scalable view of data by integrating diverse internal and external sources, supporting data‑driven products, platforms, and insights.

Key responsibilities

• Lead ingestion, transformation, aggregation, and processing of large‑scale datasets to enable advanced analytics and downstream consumption.
• Design, build, and maintain robust, scalable data pipelines on Hadoop and enterprise data platforms, ensuring high data quality, reliability, performance, and availability.
• Drive data‑unification initiatives by integrating multiple structured and semi‑structured data sources into a governed analytical foundation.

Required profile

• Senior technical leader with hands‑on engineering experience.
• Proven ability to collaborate across product management, data science, platform strategy, and technology teams.
• Experience delivering data‑driven products, platforms, and insights in a large enterprise environment.

Required skills

• Hadoop
• Data pipelines
• Data ingestion
• Data transformation
• Data aggregation
• Data processing
• Data unification
• Structured and semi‑structured data handling