Microsoft Azure Data is building the data platform for the age of AI, powering a new generation of data-driven applications and intelligent experiences. Within Azure Data, the Data Integration team builds data gravity on the Microsoft Cloud, enabling customers to connect, prepare, transform, and understand data at global scale through products such as Azure Data Factory and Power Query.Massive volumes of data are generated every day, not only from traditional systems of record but also from an increasingly connected world. Our mission is to make it easy for customers to ingest, clean, shape, join, and activate data to unlock insights and drive innovation. The products across our portfolio include Microsoft Fabric, Azure SQL Database, Azure Cosmos DB, Azure Database for PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI.The Azure Data Integration team is hiring a Principal Software Engineering Manager to lead engineers building highly scalable, reliable cloud services that power data integration experiences used by organizations around the world. In this role, you will drive technical strategy, lead execution across complex engineering investments, and develop high-performing teams that deliver meaningful impact for customers.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.
Responsibilities
People Leadership- Lead, coach, and develop a team of engineers while fostering a culture of technical excellence, inclusion, accountability, and continuous learning.
- Drive organizational health, talent development, career growth, and hiring efforts to build a diverse and high-performing engineering team.
- Partner with technical leaders, product managers, and stakeholders to align engineering investments with business priorities and customer needs.
Coding- Develop best practices for using debugging tools, tests, logs, telemetry, and other engineering methodologies to proactively identify and prevent issues.
- Guide teams in conducting incident retrospectives, identifying root causes, implementing corrective actions, and preventing recurrence across products and services.
Design- Provide technical leadership for identifying dependencies and incorporating them into architecture and design decisions across products, services, and platforms.
- Drive long-term technical strategy and architectural direction to support scalability, reliability, and innovation.
Engineering Excellence- Share and teach best practices, tools, and engineering strategies across teams.
- Lead decision-making around engineering investments, tooling, automation, and operational excellence.
- Champion modern engineering practices that improve developer productivity, quality, and customer outcomes.
Implementation- Act as an expert in deployment strategies, operational
