Sr. Staff Software Engineer Money Team

RDQ127R9

At Databricks we are obsessed with Data AI to solve the worlds toughest problems from security threat detection to cancer drug development. We do this by building and running the worlds 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 teams 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. 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.

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

Required Experience:

Staff IC