Senior Lead Software Engineer, Data Platform

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🕒 April 12

🇺🇸 United States – Remote

💵 $149k - $193.5k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Coupa Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

☁️ SaaS

💸 Finance

🛍️ eCommerce

SaaS • Finance • eCommerce

Coupa Software is a leading provider of business spend management solutions. Their platform focuses on optimizing and transforming direct and indirect spend across procurement, finance, supply chain, and IT. Coupa leverages AI and extensive data insights to drive cost efficiencies, manage supplier relationships, and mitigate risks. With products covering areas such as invoicing, payments, expense management, and supply chain collaboration, Coupa serves a wide range of industries including automotive, healthcare, retail, and more. Their comprehensive community and partner ecosystem enable organizations to unlock hidden savings and improve compliance, promoting growth and resilience in a changing economic climate.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development