Designs and manages billing systems for Databricks products across cloud providers, handling usage metering, pricing strategies, and cost optimization using AI. Requires 9+ years experience with distributed systems, data pipelines, and leadership skills.
217k – 299k
On-site9+ YOEFullstack Engineering
About the role
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.
Skills
DatabricksSparkDistributed SystemsData PipelinesReal-Time Data ProcessingAWSGCPAzureAILLMs
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