Principal Data Engineering Manager

$137,600 - $294,000/Yr

Microsoft - Redmond, WA

Full-time - Senior

Redmond, WA

Publishing Industries

About the position

The Principal Data Engineering Manager at Microsoft will lead the design, architecture, and development of the Cloud Supply Chain's Digital Data Platform. This role is pivotal in transforming the organization into a data-driven entity, focusing on innovative solutions and best practices in data architecture and AI integration. The successful candidate will manage a team of engineers, mentor them, and ensure high-quality engineering deliverables while driving the future state of the data platform.

Responsibilities

• Manage the Data Platform and Integration team
• Accountable for the architecture and engineering designs of the CSCP Data Platform
• Oversee designs for future roadmap for Data Platform for AI as a service
• Ensure instrumentation, telemetry, and lineage in the data platform
• Perform design and code reviews to ensure engineering quality of critical deliverables
• Mentor and manage technical leads, engineers, and analytical resources
• Bring an innovative, start-up mentality to the team and push forward in the face of ambiguity
• Embody Microsoft's Culture and Values

Requirements

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work OR equivalent experience
• 5+ years of experience in Cloud Infrastructure Management of Platform as a Service
• 5+ years of experience with a variety of database, analytics, and cloud technologies and platforms
• 5+ years of experience mentoring and guiding engineers developing with Spark, Python, APIs, Node.js, UI/UX

Nice-to-haves

• Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including 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 C, C++, C#, Java, JavaScript, or Python OR equivalent experience
• Big Data Analytics with Spark, Python, Scala
• Streaming Analytics with Kafka or Event Hub
• Data Lake Architecture and Delta Lake
• Machine Learning and Artificial Intelligence
• Application Programming Interfaces Frameworks
• Design and implementation experience of databases, data platforms, and managing production workloads with Extract, Transform, Load, and streaming
• Expertise in Database design, data security, and access controls
• Demonstrated experience managing development of distributed engineering teams

Benefits

• Health insurance
• 401k
• Paid holidays
• Flexible scheduling
• Professional development
• Tuition reimbursement