Senior Software Engineer Manager

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 Microsoft Fabric, the Data Integration team enables organizations to connect, move, and shape data across their entire data estate. As data is generated across applications, devices, and systems, our integration capabilities make it easy to ingest, transform, and prepare data for downstream use. Fabric’s unified integration experience simplifies how customers bring data together, ensuring it is trusted, usable, and ready to power analytics, real-time insights, and AI scenarios. ​ 

​​The Data Integration team is hiring a Senior Software Engineering Manager to work on Power Query and Dataflows. Our team focuses on:  

• End-to-End Data Integration: Designing and implementing solutions that enable customers to connect, transform, and integrate data seamlessly—from no-code experiences to complex enterprise scenarios.  
• High-Scale Engineering: Building and maintaining high-throughput, multi-tenant services with strong reliability, scalability, and maintainability.  
• Customer-Centric Innovation: Driving improvements in product functionality, performance, and usability to deliver frictionless experiences across Microsoft surfaces like Fabric, Excel, and Power Platform. 

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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. 

• ​​ Coaches team on using appropriate artificial intelligence (AI) tools and practices and their disciplined use across the software development lifecycle (SDLC). Models taking responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same. Mentors team on using SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to improve processes and practices, especially those involving AI. Models and mentors team on experimenting with AI tools and practices to improve their own capabilities.

•  Coaches others to review product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area. Leads team on bringing insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills. Conducts code reviews in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code and understands when code is ready to be shared or delivered. Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews, providing feedback on code to drive adherence to best practices. Advocates for and ensures team uses automated source code analysis tools that are incorporated into the build/development process.

• Coaches teams on and identifies dependencies and incorporates them into the development of design documents for a product, application, service, or platform. Actively identifies other teams and technologies to leverage, how they interact, and where their own system or team can support others. Coaches team to understand upstream and downstream interactions between systems and ensure security, compliance, performance, and reliability can be achieved across the entire stack. Collaborates with other teams to reach common goals where dependencies and validation concerns overlap. Works across teams to resolve conflicts around dependency and required work.

• Identifies and drives best practices and shares information with other engineers for building code that is based on well-established methods and secure design principles while also applying best practices for new code development and formal validation of security invariants. Monitors the product development and scaling to customer requirements, and applies best practices for meeting scaling needs and performance expectations and security promises. Advocates for use of GenAI tooling (e.g., GitHub CoPilot) to enhance engineering productivity.

• Managers deliver success through empowerment and accountability by modeling, coaching, and caring. Model: Live our culture. Embody our values. Practice our leadership principles. Coach: Define team objectives and outcomes. Enable success across boundaries. Help the team adapt and learn. Care: Attract and retain great people. Know each individual’s capabilities and aspirations. Invest in the growth of others.

• Coaches others and drives efforts to integrate logging and instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, utility, and safety mechanisms, and for allowing monitoring and investigating security-related concerns and scenarios for both live and A/B experiments for products, services, and offerings. Mentors team on leveraging telemetry feedback and effectiveness to improve subsequent monitoring designs. Drives efforts and coaches team to classify, and analyze data on a range of metrics (e.g., health of the system, where bugs might be occurring). Creates outputs (e.g., notifications, dashboards) that improve monitoring and investigating security-related concerns and scenarios, system monitoring and/or issue identification and mitigation. ​
• Embody our culture and values 

• Required/Minimum Qualifications 

​​Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.​