Manager, Full-Stack Engineering, SMAI

Do you believe that data provides game-changing insight? Do you see data as an asset that creates a competitive advantage? Great…so do we. 
 

Micron Technology operates in a highly competitive industry where innovation depends on talented minds extracting fresh insights from an ever-expanding data universe. As you already know, this can only happen when quality data solutions are available at the right time and in the right format. Our expert team of big data engineers is dedicated to making this happen. We operate in a diverse, collaborative environment where problem solving is a team sport and creative solutions are recognized and rewarded. Does this sound like the right team for you? Good news. We’re hiring! 
 

As a Data Engineering Manager at Micron Technology Inc., you will be a key member of our Technology Solutions group within the Smart Manufacturing and AI organization. The Data Engineering team works closely with Micron’s Front End Manufacturing and Planning Ops business area in all aspects of data, data engineering, Machine Learning, and advanced analytics solutions. We are looking for leaders with strong technical experience in Big Data and Cloud Data warehouse technologies. This role will work primarily in Cloud data warehouse like Snowflake and GCP platforms, monitoring solutions such as Splunk and automation and machine learning using Python. 
 

You will provide technical and people leadership for the team. You will ensure critical projects as well as higher level production support are delivered with high quality in collaboration with internal Micron team members. 

Job Description: 

Responsibilities and Tasks: 

• Lead a team of Data Engineers 

• Accountable for performance discussion for direct reports, Engage team members and work with team members on their career development. 

• Responsible for the development, coaching and performance management of those who report to you. 

• Build an AI-powered team culture that leverages agentic solutions to simplify work, improve speed, and maximize business value.

• Build, maintain, and support a positive work culture that promotes safety, security, and environmental programs. 

• Succession planning 

• Participate in design, architecture review and deployment of big data and cloud data warehouse solutions. 

• Lead and drive project requirements and deliverable's 

• Implement solutions that eliminate or minimize technical debt through a well-designed architecture, data model, and lifecycle. 

• Collaborate with Key project stakeholders, I4 Solution analysts on project needs and translate requirements into technical needs for the team of data engineers. 

• Bring together and share best-practice knowledge among the data engineering community. 

• Coach, mentor, and help develop data engineers. 

• Guide and manage the team through operational issues, escalations and resolve business partner issues in a timely manner with strong collaboration and care for business priorities. 

• Ability to learn and be conversational with multiple utilities and tools that help with Operations monitoring and alerting. 

• Collaborate with business partners and other teams to ensure data solutions are available, recover from failures and operate healthy. 

• Contribute to site level initiatives such as hiring, cross pillar leadership collaboration, resource management and engagement  

Qualifications and Experience: 

• 10+ years' developing, delivering, and/or supporting big data engineering and advanced analytics solutions. 

• 6+ years ' of experience in managing or leading data engineering teams 

• 4-5 years of hands-on experience building Cloud Data centric solutions in GCP or other cloud platforms 

• Should have good exposure and knowledge in Gen AI/Productivity Tools and Agentics.

• Intermediate to Advanced level programing experience, preferably Python.  

• Spark experience is a plus 

• Proficient with ELT or ETL (preferably NiFi) techniques for complex data processing  

• Proficient with various database management systems - preferably SQL Server, Snowflake 

• Strong domain knowledge and understanding of Mfg Planning and Scheduling data  

• Candidate should be strong in Data Structures, Data processing and implementing complex data integrations with application. 

• Good to have knowledge on any visualization tool like Power BI, Tableau. 

• Demonstrate ability to lead multi-functional groups, with diverse interests and requirements, to a common objective. 

• Presentation skills with a high degree of comfort speaking with management and developers. 

• A passion for data and information with strong analytical, problem solving, and organizational skills. 

• The ability to work in a dynamic, fast-paced, work environment. 

• Self-motivated with the ability to work under minimal supervision. 

Education: 

• B.S. in Computer Science, Management Information Systems, or related fields