Senior Lead Software Engineer, Data Platform

Coupa Software

Senior Software Engineer building scalable data and analytics platforms at Coupa. Focusing on advanced data ingestion and processing in a multi-cloud environment.

Posted 4/12/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $149,000 - $193,500 per yearWebsite

Tech Stack

Tools & technologies

ApacheAWSAzureBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data ingestiondata modelingdata pipelinesPythonSQLApache IcebergDatabricksBigQuerySnowflakePresto

Soft Skills

technical leadershipmentorshipcode reviewsdesign discussionscollaboration