Job Title: Senior Lead Software Engineer

Company Name: Coupa Software

Job Url: https://simplify.jobs/p/218778a0-48f5-4404-b27a-7829b520c55c/Senior-Lead-Software-Engineer

Job Description: Senior Lead Software Engineer
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Coupa Software
1,001-5,000 employees

Cloud-based spend management and procurement platform

Compensation Overview
$149k - $193.5k/yr

Senior, Expert

Company Historically Provides H1B Sponsorship

Remote in USA

Remote

Category

Software Engineering
(1)

Backend Engineering
Required Skills
Data Lake
Microsoft Azure
Python
BigQuery
SQL
AWS
Data Governance
Databricks
Snowflake
Google Cloud Platform





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History
Summary
Full Job Posting
You match the following Coupa Software's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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
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
Desired Qualifications
Nice to have exposure to semantic layers, metrics frameworks, or BI-friendly data modeling
Experience supporting analytics or AI/ML workloads