The role involves leading the architecture and strategy for analytics and data platforms, creating high-performance data pipelines, and overseeing advanced analytics tool development.
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, we're 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.
The Impact of a Sr. Principal Software Engineer - Analytics at Coupa:
The Sr. Principal Software Engineer - Analytics & Data will serve as an architect and visionary leader, responsible for the overall design, strategy, and implementation of our analytics and data platform. This role will encompass all aspects of data engineering, analytics applications, and infrastructure, driving innovation, scalability, and performance across the entire ecosystem.
What You'll Do:
- Define and lead the architecture and strategy for Coupa’s analytics and data platform, ensuring scalability and business alignment.
- Design and implement robust, high-performance data pipelines, covering ingestion, transformation, storage, and access.
- Oversee development of advanced analytics tools, including interactive visualizations and user-centric data applications.
- Establish best practices for data modeling, orchestration, monitoring, and governance across all initiatives.
- Provide technical leadership, mentorship, and drive innovation through cutting-edge technologies in big data, cloud, and AI/ML.
- Collaborate cross-functionally to deliver secure, scalable solutions, optimizing Spark clusters, APIs, and data warehouse infrastructure.
What You Will Bring to Coupa:
- 15+ years of experience in Data and Software Engineering within B2B SaaS, including leadership and architectural roles.
- Deep expertise in big data (Spark, Kafka), cloud platforms (AWS), and orchestration tools (Airflow, Luigi).
- Proven track record in architecting large-scale data platforms, cloud-native analytics solutions, and high-performance data pipelines.
- Strong background in SQL, NoSQL, database optimization, and building API-driven microservice architectures (REST, GraphQL).
- Skilled in AI/ML applications for predictive analytics, data harmonization, and classification at scale.
- Effective technical leader and mentor with a strong focus on data governance, quality, and cross-functional collaboration.
The estimated pay range for this role is $190,400 - $269,500
The starting salary for the successful candidate will be based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.
Top Skills
AI
Airflow
AWS
Big Data
GraphQL
Kafka
Luigi
Ml
NoSQL
Rest
Spark
SQL
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