India onlyCoupa 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 Sr. Engineering Manager - Analytics to Coupa:
The Senior Engineering Manager - Analytics Data will lead and manage multiple software
engineering teams focused on building and maintaining our analytics and data platforms. This role
involves driving technical excellence, ensuring successful project delivery, and fostering a collaborative
and innovative environment.
What You'll Do:
- Lead and manage multiple software engineering teams specializing in data engineering and analytics applications.
- Oversee the planning, execution, and delivery of complex data-centric projects, ensuring they meet timelines and quality standards.
- Mentor and develop engineering team members, providing technical guidance and career development opportunities.
- Collaborate with product managers, architects, and other stakeholders to define project requirements, scope, and objectives.
- Drive continuous improvement in software development processes, code quality, and engineering efficiency.
- Ensure the reliability, scalability, and performance of our analytics and data platforms.
- Facilitate effective communication and collaboration within the teams and across departments.
- Manage resources, budgets, and timelines for engineering projects.
- Implement and enforce best practices for data governance, security, and quality control.
What You Will Bring to Coupa:
- 8+ years of experience in software engineering, with a significant focus on data-related technologies and projects.
- 5+ years of experience in managing and leading software engineering teams.
- Strong understanding of data engineering principles, big data technologies, and cloud platforms (AWS).
- Proven ability to manage complex projects and deliver high-quality software solutions.
- Excellent communication, leadership, and interpersonal skills.
- Experience with agile development methodologies.
- Ability to mentor and guide engineering team members.
- Strong analytical and problem-solving skills.
- Experience in a B2B SaaS environment is highly desirable.
- Understanding of big data technologies like Spark and Kafka.
- Familiarity with cloud platforms (AWS).
- Knowledge of SQL and NoSQL databases.
- Experience with data pipeline management tools (Airflow, Luigi).
- Proficiency in at least one programming language, such as Python or Java.
- Experience with version control systems (Git) and CI/CD pipelines.
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.
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