Senior Software Engineer - Team

Overview

Databricks is obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Databricks was founded in 2013 by the original creators of Apache Spark, and has grown into a global organization with thousands of employees and customers across enterprises and individuals. The Money team's mission is to maximize the value that customers derive from data projects through innovative commercialization strategies and cutting-edge engineering. We provide billing, usage data, budgeting, forecasting, cost optimization tools, and a seamless billing experience across cloud providers (AWS, GCP & Azure).

As a Sr. Software Engineer on the Money team, you will be involved in the entire billing process: usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. You will collaborate with marketing, product, commercialization, data science, IT, and customer support to standardize billing experiences across major cloud providers and offer a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.

• Design and manage the Money systems and services, commercializing all Databricks products and offerings.
• Develop primitives to 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 cloud providers.
• 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 engineering teams.
• Represent Databricks at academic and industrial conferences and events.

• BS or higher degree in Computer Science or a related field.
• Technical leadership experience in large projects 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.

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including job-related skills, depth of experience, certifications and training, and work location. The total compensation package may include eligibility for annual performance bonus, equity, and listed benefits.

Local Pay Range $157,000 — $225,900 USD.

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices globally. For more information, follow Databricks on social media.

Databricks strives to provide comprehensive benefits and perks that meet the needs of all employees. For region-specific details, please visit the Benefits page.

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. We hire without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language,…