Description
At Databricks, we are obsessed with Data + AI to solve the world's toughest problems. 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.
The Money team's mission at Databricks is to maximise the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialisation strategies and cutting-edge engineering.
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 centre and budgeting.
Your role is crucial in democratising data by bringing Databricks products to market. By collaborating with marketing, product teams, commercialisation experts, data scientists, IT, and customer support, you will standardise billing experiences across major cloud providers, offering our customers a unified 'sky computation' experience.
This role involves utilising the latest Databricks products and tools within the ecosystem.
The impact you will have:
- Design and manage the Money systems and services, commercialising 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 commercialisation experts to develop and implement innovative pricing strategies and plans.
- Use AI and LLMs to innovate in cost insight, prediction, and optimisation 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.