Senior Software Engineer - Money Team

P-1253 At Databricks, we are 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. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees.

Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering.

Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP Azure). As a Sr.

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.

Requirements

development for Databricks products, in partnership with our engineering teams. Represent Databricks at academic and industrial conferences events. What we look for: BS or higher degree in Computer Science or a related field.

Technical leadership experience in 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.

Compensation

practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.