Principal Data Engineer (AWS, Databricks, Ai, ML Flow, Data Architecture, Apache Airflow)

About the role

Mastercard Foundry R&D develops emerging technology solutions and transforms promising concepts into scalable products and platforms. We are seeking a Principal Data Engineer to design and build the data foundations that power advanced analytics, machine learning, generative AI, and agentic AI solutions.

What you'll do

• Lead the architecture, design, and engineering of scalable batch, streaming, and event-driven data platforms
• Design and build reliable data ingestion, transformation, enrichment, processing, and consumption pipelines
• Develop governed lakehouse and modern data platform architectures using cloud-native technologies and distributed data processing frameworks
• Build and operate platforms that support analytics, machine learning, generative AI, and agentic AI workloads
• Create reusable data products, services, APIs, and self-service capabilities that accelerate experimentation and production delivery

What you need

• 12–18 yrs of experience
• Machine learning
• AWS
• Databricks
• Airflow
• SQL
• Python
• B.Sc or B.Tech or B.E. or BCA

Good to have

• MLOps
• Kafka
• Docker
• Kubernetes
• Data modelling
• Spark