Senior Staff Software Engineer - Money Team

RDQ127R9

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. 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. 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. 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 and events. What we look for: 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 Zone 2 Pay Range: $217,000 — $288,400 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals seeking employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. Compliance If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr Databricks