Sr. Lead Software Engineer - 11282 at coupa

coupa

US Remote·2d ago

SeniorFull-timePythonAWSGCPAzureAIML

Salary Range

$132,600 - $179,400 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Sr. Lead Software Engineer to join our team at Coupa. This role involves building a centralized, modern data platform on Apache Iceberg, designed to operate across a multi-cloud environment and power customer-facing analytics at scale.

Key Responsibilities

→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