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# Sr. Staff Software Engineer - Money Team

- **Company:** Databricks
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Salary:** $217,100.0 - $298,550.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, Big Data, Continuous Integration, Data Auditing, Large Language Models, Information Technology, Data Pipelines, Databricks
- **Published:** May 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4033d0c9726e8b7e

## About the Role

Do you have experience in Technology management?, Do you have a Bachelor's degree?, * BS or higher degree in Computer Science or a related field.

 * 9+ years of experience building large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.
 * Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.
 * Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.
 * A proactive approach and a passion for delivering high-quality solutions

Pay Range Transparency

## Description

As a Sr. Staff Software Engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market. By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.

The impact you will have:

 * Design and manage the Money systems and services, commercializing all Databricks products and offerings.
 * Develop innovative primitives that enable and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.
 * Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
 * Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.
 * Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.
 * You will become an expert at using the Databricks Data + AI tools
 * Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
 * Represent Databricks at academic and industrial conferences & events.


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