Microsoft has transformed itself into the undisputed leader driving innovations in data platform capabilities. Our data platform powers innovation in every industry, facilitates breakthrough scientific and medical research, and underpins intelligent applications that are changing the way people live. Enterprises and research institutions are using our platform to disrupt markets and transform their businesses. From Edge to Cloud and spanning multiple operating systems, and multiple public and private clouds the Azure Data Platform provides limitless career growth opportunities.  

The Azure Data SQL team is looking for talented engineers who can help define, design, and build the next set of technologies to make Azure SQL Database and SQL Server the best place to do operational data analytics. You will work closely with our database experts and solve challenging problems to enhance the analytics capabilities of SQL Server Engine. You will impact customers that span across SQL platforms from SQL Edge on IOT devices to SQL Server and Azure SQL DB in the cloud. While SQL Server with its columnstore indexes and vectorized, batch-mode query processing is already a great analytical platform, we want to take this to the next level by increasing performance, adding capabilities, enabling new scenarios & enabling a seamless transition to scale-out analytics with Azure Synapse Analytics.

Responsibilities

Responsibilities span across several of the following: 

• Identifying and driving prototype projects for quick evaluation of design ideas
• Work on solving variety of challenges from database systems in C++ to distributed systems in C#
• Improving SQL DB/SQL Server’s in-database analytics capabilities, by increasing performance, enhancing existing functionality like columnstore indexes and query processing, and building new features like data lifecycle management.
• Enhancing SQL Server’s capabilities for processing time series data.
• Enabling advanced Machine Learning scenarios, through for example integration with Azure ML.
• Enabling seamless integration with Azure Synapse analytics, data lake & scale-out analytics, through for example technologies like Synapse Link or enhancing SQL Server’s support for open data formats like Parquet.

Here’s a little introduction to our team:  

• We spend our days collaborating with, teaching, and learning from a diverse set of world class engineers.  
• We develop, test, and check in code every day.  
• We are obsessed with customers and make data-driven decisions using telemetry collected from customers and world scale production systems.  
• We take time to build the engineering systems that allow us to focus on new problems and reduce overhead.  
• We value engineers who can go anywhere the business and technology takes them and tackling a variety of challenges.
• We look for opportunities to use existing technologies and open source.  

Qualifications

Basic Qualifications: 

• Bachelor’s degree in Computer Science or Engineering or Mathematics or Physics or IT technical discipline (OR) in place of 3+ years of internship in Computer Science or Engineering or Mathematics or Physics or IT technical discipline (OR) in place of 3+ years of industry engineering experience in Computer Science or Engineering or Mathematics or Physics or IT technical discipline 
• 3+ years of industry experience in hands-on software design & development 
• 3+ years of industry programming experience in C/C++/C#/Java/Python OR other object-oriented programming languages

Experience in these areas is a bonus: 

• Design and development experience in database engines, column stores, query processing, performance engineering and/or operating system internals.  
• M.S./Ph.D. in Computer Science (or equivalent) with specialization in Systems areas.