about 21 hours ago

Logo of Coupa Software

Senior Principal Platform Engineer, Data Architect

$197k - $259k

Coupa Software

USRemote
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa?

🔹 Pioneering Technology: At Coupa, were at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. 

Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. 

What Youll Do:

  • Develop, maintain, and enforce data architecture standards, best practices, and design patterns to ensure consistency and quality across data capabilities
  • Develop roadmaps for data architecture capabilities that align with business objectives and overall technology strategy, influencing engineering, product and cross-functional teams to identify data opportunities and drive impactful business decisions
  • Identify and address performance bottlenecks in the data platform, ensuring the system can scale to meet the growing data demands of the business
  • Implement data partitioning, sharing, and indexing strategies to optimize query performance and reduce latency
  • Ensure the platform is designed for high availability, reliability, and fault tolerance, minimizing downtime and ensuring business continuity
  • Develop and enforce best practices for data governance, data security, and data management within the platform
  • Implement data cataloging and metadata management tools to improve data discoverability and usability across the organization

What You Will Bring to Coupa:

  • 10+ years of experience as a cloud-focused data architect
  • Deep understanding of data modeling principles, including schema design and dimensional data modeling, with experience in writing efficient SQL queries
  • Expertise in data technologies (Spark, Kafka, RDBMS, NoSQL, Hadoop)
  • Ability to architect and develop scalable data solutions, staying ahead of industry trends and integrating best practices in data engineering
  • Proficiency in programming languages such as Java or Python for building data applications and automating workflows
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for deploying and managing data services
  • Knowledge of data governance, data quality, and master data management best practices
  • Excellent communication, problem-solving, and collaboration skills
The estimated pay range for this role is as follows:

•Based in California: $220,150 - $259,000
•Based in Colorado: $197,625 - $232,500
•Based in New Jersey: $220,150 - $259,000
•Based in New York: $220,150 - $259,000
•Based in Washington: $204,425 - $240,500

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state.

At Coupa, we celebrate diversity and recognize its value to our customers and employees. Coupa is proud to be an equal-opportunity workplace and affirmative-action employer. All qualified applicants will receive consideration for employment regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or any other applicable status protected by state or local law. 

Please be advised that inquiries or resumes from recruiters will not be accepted.

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