Data Engineering Manager

The Digital Direct Sales organization at Microsoft is the premier destination for consumers and small businesses to discover and purchase a wide array of Microsoft products. It is a customer centric organization dedicated to harnessing the power of data to drive sales, insights and efficiency. As a global e-commerce leader, our website attracts tens of millions of visitors and generates over a billion customer data points each month. We are committed to developing cutting-edge solutions that empower our clients and stakeholders to make informed decisions. We value creativity, collaboration and a passion for excellence. 

We are looking for a Data Engineering Manager to lead a team responsible for innovating with one of Microsoft’s largest data sets. As part of the Consumer Sales Organization, you will drive the development of data-driven solutions to ensure Microsoft’s success in the digital retail space. You will lead a team of highly skilled experts, managing both full-time employees and service providers through managed service agreements. 

In this role, you will be responsible for pulling together the data, tools, and insights necessary for Microsoft to excel. You will thrive in a dynamic, matrixed environment, working closely with cross-functional teams including engineering, project/product management, finance, legal, privacy, security, and other key business partners. 

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

By applying to this U.S. based position, while remote work is possible, relocation does not apply/is not provided for the role.

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

Other Requirements: 

This position requires verification of citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport.

Additional or Preferred Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.
• 4+ years of people management experience, showcasing effective leadership and coaching skills in a matrixed, cross-functional environment with an empathetic and decisive management style
• Proficiency in managing and optimizing data pipelines across relational, streaming, and unstructured data systems.
• Understanding of modern data platforms and architectures for analytics and AI.
• Ability to make informed decisions regarding resource allocation, project prioritization, and risk management.

Software Engineering M5 - 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: https://careers.microsoft.com/us/en/us-corporate-pay   

Microsoft will accept applications for the role until November 1, 2024.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form

• Collaborate with the Data Engineering PM team to execute data engineering requirements for the Microsoft Webstore, Gaming Store, and Client Store.
• Partner with Data Analytics and Data Science teams to develop pipelines that support Analyst, Marketing, and Sales functions.
• Lead and mentor a diverse team of engineers, fostering career development and providing clear direction.
• Manage multiple data pipelines for analytics, experimentation, activation, and AI initiatives.
• Engage with cross-functional teams, including finance, legal, privacy, and security, to ensure alignment with business goals and compliance standards.
• Assess business impact and prioritize projects based on potential success and resource availability.
• Integrate new tools and technologies, such as Microsoft Fabric and Adobe Customer Journey Analytics, to enhance data pipeline capabilities.
• Drive innovation in digital retail by leveraging advanced data storage and processing platforms.
• Provide clarity in ambiguous situations and make strategic decisions under uncertainty.
• Communicate effectively with both technical and non-technical stakeholders, simplifying complex data concepts for broader understanding.
• Pursue knowledge to enhance the availability, reliability, and performance of products, while promoting consistency in monitoring and operations.
• Embody our Culture and Values