Job Description:
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. The products our portfolio include 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 data culture. Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings. Cosmos is Microsoft’s big data analytics SaaS service providing compute and storage capabilities to power mission critical workloads for businesses at Microsoft. It is the central repository where Microsoft teams ingest, store, process, query, and share structured and unstructured data at scale. Cosmos is only available to 1P customers and is run as a shared, multi-tenant service optimized for big data analytics. Cosmos is not just a big data platform but a complete ecosystem of tools and solutions that have been developed by the customer community. Our team actively uses AI tools including Copilots, internal platforms, and data driven insights to accelerate product discovery, design, validation, and execution. We expect candidates to be comfortable using AI as a core part of how they work. As part of the product development cycle, you will collaborate with stakeholders, design new platform capabilities, validate them with customers iteratively, and help bring them to the world
