Software Engineering • Lead

Who you are

You have extensive experience in software engineering management, particularly in data integration and analytics. Your background includes leading teams that design and build scalable data solutions, and you are well-versed in cloud technologies, especially within the Azure ecosystem. You possess strong leadership skills and a passion for mentoring engineers, fostering a culture of innovation and collaboration.

You have a deep understanding of data engineering principles and are familiar with products like Azure Data Factory and Power BI. Your technical expertise allows you to guide your team in building robust data pipelines and orchestration platforms that handle large volumes of data with minimal latency. You are committed to driving a data culture within your organization and are excited about the possibilities of AI in data applications.

What you'll do

As the Principal Software Engineering Manager, you will lead the Azure Data engineering team in developing cutting-edge data integration products. You will oversee the design and implementation of services that facilitate the transfer of massive data volumes from various sources to target systems. Your role will involve collaborating with cross-functional teams to ensure that the data solutions meet customer needs and drive business value.

You will be responsible for setting the technical direction of the team, ensuring that best practices are followed in software development and data management. You will mentor and support your team members, helping them grow their skills and advance their careers. Additionally, you will work closely with product management to align engineering efforts with business objectives and customer requirements.

What we offer

At Microsoft, you will be part of a dynamic and inclusive work environment that values innovation and collaboration. We offer competitive compensation and benefits, including opportunities for professional development and career advancement. You will have the chance to work on impactful projects that shape the future of data analytics and AI, contributing to a mission that empowers organizations to harness the power of their data.