Sr. Staff Software Engineer, Money Team Job | Databricks

Databricks is hiring a Sr. Staff Software Engineer for its Money team, whose mission is to maximize the value customers get from their data investments. You will be closely involved in the entire billing process: usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. You will standardize billing across AWS, GCP, and Azure so customers get a unified experience, working with marketing, product, commercialization experts, data science, IT, and customer support.

Key Responsibilities

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

Requirements

• BS or higher degree in Computer Science or a related field.
• 9+ years of experience building large projects like 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.

Skills

Technical Skills

• Distributed systems and service infrastructure
• Near real-time large-scale data processing and data pipelines
• Billing, metering, and pricing systems
• AWS, GCP, and Azure
• CI/CD, test frameworks, and data quality and reconciliation
• Anomaly detection
• AI and LLMs for cost insight and optimization

Soft Skills

• Leadership across functional and organizational boundaries
• Cross-functional collaboration
• Proactive approach and passion for high-quality solutions
• Long-term vision and requirements development
• Public representation at conferences and events

Benefits

• Eligibility for an annual performance bonus and equity
• Comprehensive benefits and perks (details vary by region and aren’t itemized in the posting)