Senior Principal Platform Engineer, Data Architect

Coupa is seeking a Senior Principal Platform Engineer, Data Architect to join their innovative team working on their AI-powered spend management platform. This role sits at the intersection of data architecture and platform engineering, requiring a seasoned professional with 10+ years of experience in cloud-focused data architecture.

The position offers an opportunity to work with a platform that processes trillions of dollars of spend data across a global network of 10M+ buyers and suppliers. As a Senior Principal Platform Engineer, you'll be responsible for developing and maintaining data architecture standards, implementing scalable solutions, and ensuring the platform's performance and reliability.

The ideal candidate will bring deep expertise in data modeling, cloud technologies, and modern data stack including Spark, Kafka, and various database systems. You'll be working with technologies like Java, Python, Kubernetes, and both SQL and NoSQL databases. Your role will be crucial in shaping the data infrastructure that powers Coupa's AI and analytics capabilities.

What makes this role particularly exciting is the opportunity to work on a platform that has real-world impact on business operations globally. You'll be joining a company that values collaboration, innovation, and technical excellence. Coupa offers a competitive compensation package, with salary ranges varying by location (from $197,625 to $259,000), reflecting the senior nature of this position.

The role is fully remote, offering flexibility while working with a global team. You'll be part of a culture that emphasizes transparency, openness, and a shared commitment to excellence. This is an excellent opportunity for a senior data professional looking to make a significant impact in a company that's at the forefront of spend management technology.

Your work will directly influence how businesses make smarter, more profitable decisions through data-driven insights. You'll be responsible for ensuring the scalability, reliability, and efficiency of data systems that process massive amounts of financial data, making this role both challenging and rewarding for someone passionate about data architecture and platform engineering.