Principal Engineering 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 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 Analytics, Insights, and Curation team is leading the way at understanding the Microsoft Fabric composite services and empowering our strategic business leaders.  We work with very large and fast arriving data and transform it into trustworthy insights.  We build and manage pipelines, transformation, platforms, models, and so much more that empowers the Fabric product.    As an Engineer on our team your core function will be Data Engineering with opportunities in Analytics, Science, Software Engineering, DEVOps, and Cloud Systems.  You will be working alongside other Engineers, Scientists, Product, Architecture, and Visionaries bringing forth the next generation of data democratization products.   
 
We are hiring a passionate Senior Engineering Manager to lead and build a team of highly motivated and talented engineers creating highly scalable data platforms and delivering services and experiences for empowering Fabrics customer, seller and partner ecosystem to be successful. This is a unique opportunity to use your leadership skills and experience in building core technologies that will directly affect the future of Fabric on the cloud. In this position, you will be part of a fun-loving, diverse team that seeks challenges, loves learning and values teamwork. You will collaborate with team members and partners to build high-quality and innovative data platforms with full stack data solutions using latest technologies in a dynamic and agile environment and have opportunities to anticipate future technical needs of the team and provide technical leadership to keep raising the bar for our competition.   
 
We pride ourselves on a culture of customer centricity, innovation, agility, transparency, and flexibility. We are always eager to hear new ideas and promote out of the box thinking when addressing complex process, architecture, or technology challenges.

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

​​As a leader of the engineering team, you will be responsible for the following:  
• Build and lead a world class data engineering team.  
• Passionate about technology and obsessed about customer needs.  
• Champion data-driven decisions for features identification, prioritization and delivery.  
• Managing multiple projects, including timelines, customer interaction, feature tradeoffs, etc.  
• Delivering on an ambitious product and services roadmap, including building new services on top of vast amount data collected by our batch and near real time data engines.  
• Design and architect internet scale and reliable services.  
• Derive insights from big data sets through heuristic,  machine learning, and other techniques to empower business decisions at high velocity and scale. 
• Communicate effectively and build relationships with our partner teams and stakeholders.

Embody our culture and values

Qualifications

Required/Minimum Qualifications 

​​• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.  
• 12+ years of experience of building high scale enterprise Business Intelligence and data engineering solutions.  
• 3+ years of management experience leading a high-performance engineering team.  
• Proficient in designing and developing distributed systems on cloud platform.  
• Must be able to plan work, and work to a plan adapting as necessary in a rapidly evolving environment.  
• Experience using a variety of data stores, including data ETL/ELT, warehouses, RDBMS, in-memory caches, and document Databases.  
• Experience using ML, anomaly detection, predictive analysis, exploratory data analysis.  
• A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture.  
• Strong communication skills and proficiency with executive communications  
• Demonstrated ability to effectively lead and operate in cross-functional global organization ​ 

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

​​• Prior experience as an engineering site leader is a strong plus.  
• Proven success in recruiting and scaling engineering organizations effectively.  
• Demonstrated ability to provide technical leadership to teams, with experience managing large-scale data engineering projects.  
• Hands-on experience working with large data sets using tools such as SQL, Databricks, PySparkSQL, Synapse, Azure Data Factory, or similar technologies.  
• Expertise in one or more of the following areas: AI and Machine Learning.  
• Experience with Business Intelligence or data visualization tools, particularly Power BI, is highly beneficial. ​

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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