Lead Software Engineer, Data - 10070

The Lead Software Engineer - Data at Coupa will architect, design, and optimize data solutions, ensuring data integrity and scalability while mentoring engineers and collaborating cross-functionally. 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 Lead Software Engineer – Data to Coupa: The Lead Data Engineer plays a critical role in shaping Coupa's data infrastructure, driving the design and implementation of scalable, high-performance data solutions. Collaborating with teams across engineering, data science, and product, this role ensures the integrity, security, and efficiency of our data systems. Beyond technical execution, the Lead Data Engineer provides mentorship and defines best practices, supporting a culture of excellence. Their expertise will directly support Coupa's ability to deliver innovative, data-driven solutions, enabling business growth and reinforcing our leadership in cloud-based spend management. What You'll Do: Lead and drive the development and optimization of scalable data architectures and pipelines. Design and implement best-in-class ETL/ELT solutions for real-time and batch data processing. Optimize data analysis and computation for performance, reliability, and cost efficiency, implementing monitoring solutions to identify bottlenecks. Architect and maintain cloud-based data infrastructure leveraging AWS, Azure, or GCP services. Ensure data security and governance, enforcing compliance with industry standards and regulations. Develop and promote best practices for data modeling, processing, and analytics. Mentor and guide a team of data engineers, fostering a culture of innovation and technical excellence. Collaborate with stakeholders, including Product, Engineering, and Data Science teams, to support data-driven decision-making. Automate and streamline data ingestion, transformation, and analytics processes to enhance efficiency. Develop real-time and batch data processing solutions, integrating structured and unstructured data sources. What you will bring to Coupa: We are looking for a candidate with 10+ years of experience in Data Engineering and Application development with at least 3+ years in a Technical Lead role. They must have a graduate degree in Computer Science or a related field of study. They must have experience with programming languages such as Python and Java. Expertise in Python is a must. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Expertise in processing and analyzing large data workloads. Experience in designing and implementing scalable Data Warehouse solutions to support analytical and reporting needs. Experience with API development and design with REST or GraphQL. Experience building and optimizing 'big data' data pipelines, architectures, and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Experience with big data tools: Spark, Kafka, etc. Experience with relational SQL and NoSQL databases. Experience with data pipeline and workflow management tools. Experience with AWS cloud services.

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.