Sr Lead Software Engineer - 11282

Reposted 12 Days Ago
Hiring Remotely in US
Remote
149K-208K Annually
Senior level
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Help Shape What's Next
The Role
This role involves designing scalable data ingestion systems and building a centralized data lake on Apache Iceberg. Responsibilities include improving performance and reliability, collaborating with data engineers, and providing technical leadership.
Summary Generated by Built In
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. 

What You’ll Do

  • Design and implement scalable, high-throughput data ingestion systems that integrate internal and external data across domains
  • Design and build core data platform components, including ingestion, validation, orchestration, and lineage, with a focus on code quality and reliability
  • Build and evolve a centralized data lake using Apache Iceberg (or similar table formats)
  • Work across multi-cloud environments (AWS, GCP, Azure) to design and implement cloud-agnostic data ingestion and processing patterns
  • Contribute hands-on to the Semantic layer, ensuring data is easy to consume for BI and analytics teams
  • Partner with Senior Data Engineers, Platform Engineers, and Analytics Engineers to align how data is produced, stored, and consumed
  • Establish practical engineering standards for testing, observability, and operational excellence
  • Provide technical leadership through mentorship, code reviews, and design discussions, while remaining hands-on

What You Will Bring to Coupa

  • 8-10+ years of experience in software or platform engineering, with a focus on building scalable data and analytics platforms
  • Strong understanding of data ingestion patterns at scale, including CDC, and how data should be modeled and stored in a data lake for fast, efficient retrieval
  • Proven experience building and operating large-scale data pipelines in production
  • Experience working with modern data warehouses such as Databricks, BigQuery, or Snowflake
  • Strong proficiency in Python and SQL, with a focus on writing production-quality, maintainable, and testable code
  • Hands-on experience working with cloud data services in AWS, GCP, or Azure
  • Experience working with query engines such as Presto or Trino to enable fast, reliable analytics over data lakes
  • Familiarity with Lakehouse architectures and table formats such as Iceberg or Delta Lake
  • Familiarity with data governance, lineage, metadata, cataloging, and data quality practices
  • Nice to have:
  • Nice to have exposure to semantic layers, metrics frameworks, or BI-friendly data modeling
  • Experience supporting analytics or AI/ML workloads
  • Candidates could be based out of any of these locations: San Francisco, Seattle, New York, Austin, Chicago, Phoenix, Northern Virginia (Fairfax, Arlington, Richmond) OR remote in the US.
  •  

#LI-REMOTE
#LI-AA2

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.

Skills Required

  • 8-10+ years of experience in software or platform engineering
  • Strong understanding of data ingestion patterns at scale
  • Proven experience building and operating large-scale data pipelines in production
  • Experience working with modern data warehouses like Databricks, BigQuery, or Snowflake
  • Strong proficiency in Python and SQL
  • Hands-on experience with cloud data services in AWS, GCP, or Azure
  • Familiarity with Lakehouse architectures and table formats like Iceberg or Delta Lake

What the Team is Saying

Aditya Maheshwari
Alex Moon
Jose Miguel Jimenez
Jessica Fonseca
Daniela Aristizábal

Coupa Compensation & Benefits Highlights

  • Healthcare Strength Health, dental, vision, and mental‑wellness resources for employees and dependents begin on the first day of employment. Recent updates to health‑insurance programs this year indicate active management of core coverage.
  • Leave & Time Off Breadth Flexible Time Off, floating holidays, paid parental leave, and dedicated volunteer time off are emphasized as part of standard offerings. A global minimum vacation allowance outside the U.S. is also advertised.
  • Retirement Support Competitive compensation is paired with retirement savings programs, including a U.S. 401(k) with company match. An Employee Stock Purchase Plan is also referenced as part of long‑term financial support.

Coupa Insights

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The Company
HQ: Foster City, California
3,000 Employees
Year Founded: 2006

What We Do

Coupa is a global technology company that helps businesses run smarter by connecting all the ways they spend money — from procurement and expenses to payments and supply chain decisions — in one intelligent platform. In simple terms, Coupa gives organizations the visibility and control they need to make better financial choices, reduce waste, and drive real impact. It’s where technology meets purpose: helping companies manage their resources more responsibly while creating a positive ripple across their people, partners, and the planet.

Why Work With Us

At Coupa, we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable, ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.

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Coupa Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus, balance, and creativity, while staying connected to a global team of changemakers who are redefining the future of business spend

Typical time on-site: Flexible
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HQFoster City
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Dubai, Dubai 48800
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Shivaji Nagar, IN
Singapore, SG
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Tokyo Office
Uppsala, SE
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