Director Data Engineering

About the role

Mastercard powers a connected and inclusive digital economy by delivering secure, resilient, and intelligent payment technologies across the globe. Every day, Mastercard processes billions of payment interactions and generates massive volumes of transaction, customer, merchant, fraud, and operational data that power critical business decisions and innovative products.

What you'll do

• Partner with business, product, architecture, security, and technology leaders to translate strategic objectives into scalable data solutions
• Drive organisational transformation initiatives involving cloud migration, platform modernisation, automation, and engineering excellence
• Develop multi-year roadmaps for data platform evolution, capacity growth, and technology investment planning
• Lead the architecture and implementation of highly scalable, secure, and resilient Data Lakehouse and Data Warehouse platforms
• Establish enterprise standards for data ingestion, transformation, storage, governance, lineage, metadata management, observability, and quality control

What you need

• 15–27 years in data science & ai
• SQL
• Python
• Data warehousing
• AWS
• LLMs
• Data modelling
• MBA

Good to have

• Kafka
• Spark
• Hadoop
• Airflow
• CI/CD
• Terraform

What you get