Principal Software Engineer

Microsoft Azure Edge + Platform is a globally distributed team that is responsible for the platform for Microsoft and for delivering Microsoft’s edge vision. We create the most reliable and trustworthy OS and platform services to empower Microsoft and our customers to achieve more.

The Industrial Metaverse Data Experiences team in Azure Edge + Platform is responsible for building low-code/no-code, AI enabled experiences to empower industrial customers to unlock differentiated business value with industrial data. We strive to help industrial customers in manufacturing, energy, transportation and logistics to seek new ways to reduce costs, increase yield and maximize productivity. We are an integrated offering in Microsoft Fabric. Microsoft Fabric is an end-to-end analytics and data platform for enterprises that require a unified solution. Our goal is to bring together different personas – namely data engineers, data scientists, Operational Technologies into a unified experience in Fabric. We plan to build Copilot experiences that let customers ask questions about their industrial data estate in natural language, help them model from the data ingested and get to business insights much faster.
We are seeking a highly skilled and experienced Principal Software Engineer to join our team. In this role, you will be responsible for architecting the data platform for a new workload in Microsoft Fabric. You will work with cutting-edge technologies such as Spark and Delta Lake to design and implement scalable, high-performance data solutions.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C# or Python with a specific focus on data architecture and data technologies
  • OR equivalent experience
• 2+ years of experience in data technologies, including Spark and Delta Lake or related technologies.
• 4+ years of experience in architecting and implementing scalable data platforms and solutions.
• 4+ years of experience with data governance, data quality, and data security best practices.

• Experience with cloud-based data platforms and services, such as Azure Data Lake, Azure Databricks, or similar.
• Knowledge of big data technologies and frameworks, such as Hadoop, Kafka, or similar.
• Familiarity with machine learning and data science concepts and tools.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until January 16, 2025. 

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As a Principal Software Engineer, you will be responsible for the following:

• Architect and design the data platform for a new workload in Microsoft Fabric, ensuring scalability, reliability, and performance.
• Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define data requirements and deliver solutions that meet business needs.
• Develop and implement data models, data pipelines, and data integration processes using Microsoft Fabric technologies like Spark and Delta Lake.
• Ensure data quality, data governance, and data security best practices are followed throughout the data lifecycle.
• Provide technical leadership and mentorship to engineers, fostering a culture of continuous learning and improvement.
• Stay up-to-date with the latest industry trends and technologies in data architecture and engineering, and apply this knowledge to drive innovation within the team.