> Markdown version of [/jobs/ext/3055023-director-of-software-engineering-analytics-data](https://www.wearedevelopers.com/jobs/ext/3055023-director-of-software-engineering-analytics-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director of Software Engineering - Analytics & Data - **Company:** Coupa Ai - **Location:** United States - **Experience:** Expert - **Salary:** $219,300.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Big Data, Code Review, Databases, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, NoSQL, Performance Tuning, Query Optimization, Cloud Services, Software Engineering, SQL Databases, Data Processing, Google Cloud, Snowflake, Apache Spark, Data Lakes, Information Technology, Apache Flink, Luigi, Apache Kafka, Data Pipelines, Databricks - **Published:** September 24, 2026 - **Apply:** https://www.thejobnetwork.com/job/director-software-engineering-analytics-data-509979259 ## About the Role * 15+ years of progressive experience in software engineering, with at least 10+ years in a leadership role managing multiple software engineering teams, preferably within a B2B SaaS environment. * Proven track record of successfully architecting, building, and delivering large-scale data platforms, including data lakes and semantic layers. Demonstrated ability to drive technical strategy, make sound architectural decisions, and lead complex technical initiatives from conception to production. Proven hands-on experience with skills: * Deep technical expertise in big data technologies (e.g., Spark, Kafka, Flink, Delta Lake, Snowflake, Databricks), cloud platforms (AWS, Azure, GCP), and modern data warehousing concepts. Expertise in data modeling, ETL/ELT processes, and building robust data pipelines using tools like Airflow or Luigi. * Strong understanding of database technologies, including SQL, NoSQL, and columnar databases, with proven experience in query optimization and performance tuning. * Excellent leadership, communication (verbal and written), and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Experience with agile development methodologies and a strong commitment to engineering best practices (CI/CD, automated testing, code reviews). * Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field. ## Description The Director of Software Engineering - Analytics & Data will be a highly technical and strategic leader responsible for defining, building, and delivering Coupa's next-generation data lake and semantic layer. This role will oversee multiple engineering teams, drive technical excellence, and ensure the successful implementation of scalable and performant data solutions that empower advanced analytics and business intelligence across the organization. The Director will report to the VP of Engineering or a similar executive leadership role. What You'll Do: * Define and execute the long-term technical vision and strategy for Coupa's data lake and semantic layer, aligning with overall company objectives. * Lead, mentor, and grow multiple high-performing software engineering teams focused on data engineering, analytics applications, and platform infrastructure. * Architect and oversee the design and implementation of highly scalable, resilient, and cost-effective data pipelines, data storage solutions (data lake), and semantic models. * Drive the selection and adoption of cutting-edge big data technologies, cloud services, and best practices to optimize data processing, storage, and accessibility. * Foster a culture of innovation, continuous improvement, and technical excellence within the analytics and data engineering organization. * Manage engineering resources, budgets, and project timelines effectively to ensure timely and successful delivery of initiatives.