​​Senior Software Engineer​

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 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 Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. ​ 

​​The Fabric Data & Telemetry team is part of the Fabric Platform. It is responsible for all platform capabilities in support of “observability” – From telemetry creation (APIs, event repositories, etc.), through routing and storage, to eventual consumption tools and data models. This observability is critical for the service and business and supports pillars such as live-site monitoring, diagnostics, analytics for operations and product development, and ensuring Fabric customers have high quality data for their own observability needs.  
 
 The charter of the team is to provide Fabric stakeholders, partners and clients with world-class data for running the Service and Business. The team and its members work across different codebases, disciplines, platform components and observability pillars. In particular, the team is required to function within the service core, applying classic cloud and software engineering practices and tools, as well as a core-data team, applying (big) data-engineering and analytical practices and tools.  
 
As a software Engineer on the team, you will play a key role in shaping the future of our platform. Using the latest Azure technologies, you will design and build scalable telemetry instrumentation services and pipelines and develop tools for metadata management, you will create job monitoring and notification services for data pipelines, and streamline daily operations through automation. 
 
We are looking for a Software Engineer who is passionate about observability and data, eager to leverage latest Microsoft Azure technologies to help build scalable, high-performance solutions.

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. 

Required/Minimum Qualifications 

​​• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+[YA3.1] years' experience in software development, data engineering, or data modeling work. 
o OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years' experience in software development, data engineering, or data modeling work. 
o OR equivalent experience. 
• 4+ years of experience in software engineering, with proven proficiency in C#, [YA4.1]Java, or equivalent. 
• 4+ years of experience working and building distributed cloud services using Azure or similar technology stacks.  
• Experience with scripting languages for data retrieval and manipulation (e.g., SQL or KQL).

Other Requirements 

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: 

​​• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. 

Preferred/Additional Qualifications 

​​• 1+ years of demonstrated experience implementing data governance practices, including data access, security and privacy controls and monitoring to comply with regulatory standards. 
• Experience with big data technologies such as: Hadoop, Hive, Spark. 
​ 

Equal Opportunity Employer (EOP) 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (Accessibility | Microsoft Careers). 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. 

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​​#azdat #azuredata #fabricdata #dataintegration #azure #bigdata #telemetry​ 

​• Lead the design, develop, and maintain high quality APIs, SDKs and data [YA2.1][WR2.2]pipelines, including solutions for data collection, cleansing, transformation, and usage, ensuring accurate data ingestion and readiness for downstream analysis, visualization, and AI model training. 
• You will build frameworks to validate data quality and completeness, detect anomalies, enhance data pipeline resiliency, and support unit and integration testing. 
• You will lead the design and implementation of end-to-end software and data life cycles—including development, CI/CD, service reliability, and agile practices—in close collaboration with Product Management and partner teams. 
• Serve as the SME for key components in the telemetry pipeline, providing technical leadership and advocating for improvements ensuring the accuracy, efficiency, and scalability of data collection and processing. 
• Deliver high quality features and data pipelines by leveraging industry best practice and using cutting edge technologies and Fabric/Azure-Data stack. 
• You will anticipate data governance needs, designing data modeling and handling procedures to ensure compliance with all applicable laws and policies. 
• You will implement and enforce security and access control measures to protect sensitive resources and data.  
• Be part of the on-call rotation for maintaining service health. 
• You will mentor junior engineers, lead technical discussions, and drive best practices in software engineering. 

Embody our culture and values