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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. Our portfolio includes Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a global data culture. Within Azure Data, the Usage Billing team builds the next-generation data platform for reliable ingestion, aggregation, and processing of usage emitted at high volume by Microsoft services, ensuring accurate and timely billing through internal Commerce systems. This is a mission-critical service built for scale, compliance, and data guarantees—leveraging world-class Azure real-time messaging, streaming, and analytics services to ensure critical billing usage data flows into revenue for Microsoft.
Job Responsibility:
Lead the design, development, and validation of core platform components, ensuring service fundamentals around reliability, monitoring, security, performance, and engineering systems
Drive architectural decisions for complex distributed systems that power billing across all Microsoft services
Partner across Microsoft teams to shape the underlying design of shared components, ensuring alignment with the broader Microsoft ecosystem and long-term technical direction
Lead critical pipeline components that run all Microsoft billing workloads, providing unified and accurate usage reporting across Azure, Office, and other services
Influence and mentor engineers across the team and organization, raising the bar for technical excellence, collaboration, and live-site culture.
Requirements:
Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 12+ years experience in software development, architecture/design, data modeling or data engineering work
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 10+ year(s) experience in software development, architecture/design, data modeling or data engineering work
equivalent experience
Excellent communication skills and the ability to work effectively in a multidisciplinary team
Proven experience designing, building, and operating large-scale, distributed cloud services with strong focus on reliability, scalability, and performance
Strong operational discipline with the ability to manage live-site health, respond to randomization, and consistently deliver high-quality outcomes
Ability to meet Microsoft, customer and/or government security screening requirements
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.