Data Center Intelligence Engineering Manager, Infrastructure Services

Apple - Sunnyvale, CA

Full-time

Sunnyvale, CA

Computer and Electronic Product Manufacturing

About the position

The Data Center Intelligence Engineering Manager will lead a team focused on designing, building, and operating innovative data solutions that support Apple's Infrastructure Services. This role involves leveraging advanced technologies to create scalable data solutions that drive critical business decisions across various infrastructure domains. The manager will oversee the development of executive reporting solutions and self-service tools, ensuring data accuracy and completeness while distilling complex data into actionable insights.

Responsibilities

• Lead design and build executive reporting solutions and exploratory self-service tools.
• Collaborate with data scientists, data engineers, and partners to support data modeling, analysis, and reporting needs.
• Develop automated processes to cleanse, integrate, and evaluate large datasets from multiple databases.
• Identify and resolve conflicts, inter-dependencies, and issues quickly and effectively.
• Take ownership of individual platform components and help set the vision and architecture for it.
• Use open source frameworks to build applications.
• Build generic and reusable solutions that can scale and use various technologies and frameworks to address complex business requirements.
• Demonstrate ability to effectively interact at all levels.

Requirements

• B.S in Computer Science, Mathematics, Statistics or similar field or equivalent experience.
• 3+ years of industry experience in Data Engineering, Data Architecture, or Data Warehousing.
• Experience in data visualization tools like Tableau, Power BI or others used for data analysis and presentation.

Nice-to-haves

• M.S in Computer Science, Mathematics, Statistics or similar field.
• Proficiency in advanced SQL and performance tuning across MPP/NoSQL databases like Vertica, Snowflake, and Redshift within large-scale environments.
• Ability to design comprehensive reporting frameworks, build interactive reports, and use data visualization tools effectively.
• Experience managing technical/engineering development teams, hiring people, and building impactful teams.
• Experience in conducting data analysis using statistical techniques, and predicting future trends using Python and other technologies.
• Solid background in data center infrastructure.
• Expertise in performing in-depth reconciliations of data sets across multiple systems, documenting procedures, and establishing SOPs to maintain data integrity.
• Good communication and collaboration skills to derive actionable business recommendations based on analytical findings.
• Experience on negotiation skills and ability to influence partners without direct authority.
• Experience managing highly-complex, cross-functional projects.