Sr. Software Engineer - Data Engineer (5-8 years)- 11477

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. Software Engineer at Coupa:

At a technical level your development team will offer application and infrastructure support for customer environments. You’ll have the opportunity to collaborate across software products with engineers all over the company and globe to plan and deploy product releases.

What You’ll Do : As a Sr. Software Engineer, you will help scale our Coupa platforms as we expand and find the right balance between the power of a consolidated codebase and the flexibility of microservices.  You will collaborate with Product and Development teams to build new features and find creative and elegant solutions to complex problems.  As a Sr. Software Engineer, you will offer advice and review of others designs and implementations and mentor others, breaking down information systematically.

What You Will Bring to Coupa : Data Architecture: 5-8 years of experience in Advanced database modeling capabilities across complex SQL and NoSQL analytical systems.    Data Warehousing: Deep experience managing and scaling Snowflake environments.    Cloud Data Pipelines: Building and managing ETL/ELT processes using AWS/GCP Glue and cloud jobs.    Data Formats: Proficiency in handling and optimizing columnar storage formats like Parquet. Advanced Data Architecture: Proven ability to design and implement advanced database modeling across complex SQL and NoSQL analytical systems. Cloud Data Warehousing: Deep experience managing, optimizing, and scaling cloud data warehouse environments, with a strong emphasis on Snowflake (or highly similar platforms). Robust Pipeline Development: Expertise in building, orchestrating, and maintaining scalable ETL/ELT processes using cloud-native tools such as AWS Glue, GCP cloud jobs, or similar orchestration platforms. Data Lake Integration & Medallion Architecture: Extensive background in building and integrating Data Lakes, including practical experience implementing multi-tiered data architectures (Bronze, Silver, Gold/Platinum layers). Change Data Capture (CDC): Hands-on experience designing and implementing CDC processes to ensure efficient, reliable data replication and synchronization across distributed systems. Storage Optimization & Big Data: Proficiency in handling and optimizing columnar storage formats (e.g., Parquet), with a strong "nice-to-have" background in big data processing frameworks like Apache Spark/Hadoop/AirFlow. System Reliability & Monitoring: Demonstrated ability to ensure system stability by implementing proactive monitoring, automated alerting, and rapid incident response protocols for data pipelines. Cross-Functional Collaboration: Excellent communication skills with a proven track record of collaborating across engineering, data science, and product teams to translate business requirements into technical data solutions. Agile Methodology: Comfortable and effective working within an Agile environment, actively participating in sprint planning, code reviews, and iterative delivery. Continuous Learning & Mentorship: A strong willingness to learn emerging data technologies and industry best practices, coupled with a desire to mentor junior engineers and elevate the team's overall technical standards.