PrincipalDataEngineer

**Our Purpose** _Mastercard powers economies and empowers people in 200 + countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** ### Principal Data Engineer ### Role Summary Join the Data Commercialization Platform (DCP) engineering team to design and build cloud-based architectures for Business Intelligence and analytics, leveraging Databricks and Snowflake on AWS, with multi-cloud extension patterns into Azure. You will lead platform-grade solutions that are governed, scalable, and interoperable, using open data standards and enterprise security controls. What You’ll Do (Key Responsibilities) • Design and develop cloud BI/analytics architecture on AWS Databricks and Snowflake, enabling governed analytics, ML, and data engineering workloads at scale. • Drive multi-cloud architecture patterns by extending DCP capabilities into Azure, including Azure Databricks (ADB) and ADLS Gen2, while maintaining an engine-agnostic posture. • Lead cross-platform interoperability across Databricks, Snowflake, and AWS data services (e.g., catalog federation and governed access patterns), ensuring seamless end-user experiences and consistent security controls • Participate in architecture reviews, iteration planning, and feature sizing with technical partners across Mastercard, shaping platform roadmaps and execution plans. • Define and deliver service-level procedures and platform solutions (automation, provisioning, repeatability), improving reliability, speed-to-onboard, and operational excellence. • Build roadmaps and identify improvement opportunities for primary platform servic