Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further.
This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
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 in 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 a 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.
We are looking for engineers to lead the development of the core components of the Cloud Data Warehouse that powers SQL analytics in Microsoft Fabric.
You will work in areas related to query optimization, data sharing and replication, transactional storage and distributed query processing to build an elastic and scalable cloud DW to enable Tier1 enterprise workloads on data stored in Azure OneLake.
Your software will run at petabyte scale level, and requires careful design to meet the scalability and reliability challenges for operating at that scale.
We are looking for passionate people with experience working with all service aspects of high throughput and multi-tenant services.
We aim at building well-thought-out components that handle errors properly, with properly tested and maintainable code.
We do not just value differences or different perspectives; we seek them out and invite them in so we can tap into the collective power of everyone in the company.
As a result, our customers are better served.
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