Principal Data Engineer

Role Overview

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.

What You Will Do

Design and develop cloud BI/analytics architecture on AWS Databricks and Snowflake, drive multi-cloud architecture patterns, lead cross-platform interoperability, and participate in architecture reviews.

Why It Might Be a Fit

Required strengths include experience designing cloud analytics / BI architectures, hands-on expertise across Databricks + Snowflake + AWS, and strong architecture and engineering leadership.

Requirements

• Proven experience designing cloud analytics / BI architectures for large-scale data platforms
• Hands-on expertise across Databricks + Snowflake + AWS, with demonstrated ability to integrate governed services across platforms
• Working knowledge of Azure architectures and patterns for extending analytics platforms (including Azure Databricks and ADLS Gen2)
• Strong architecture and engineering leadership: ability to drive standards, automation, and repeatable delivery
• Experience operating in enterprise governance/security constraints, implementing access control and automation identities (service principals)