Data Center Intelligence Engineering Manager, Infrastructure Services
Job Description
Summary
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The Infrastructure Services Programs and Solutions team is looking for a passionate, self-motivated and hard-working leader to be part of a diverse, fast paced and high-energy team. We are seeking an experienced leader to help build robust data solutions using advanced level of SQL, Tableau and Python. These data insights help drive critical business decisions on all lines of Apple Infrastructure, including fleet utilization, power management systems and Asset management.
If you thrive on solving complex data-related challenges, are passionate about building scalable data solutions, and are eager to see the direct consequences of your work on our business, we encourage you to apply!
The Infrastructure Services Programs and Solutions team is looking for a passionate, self-motivated and hard-working leader to be part of a diverse, fast paced and high-energy team. We are seeking an experienced leader to help build robust data solutions using advanced level of SQL, Tableau and Python. These data insights help drive critical business decisions on all lines of Apple Infrastructure, including fleet utilization, power management systems and Asset management.
If you thrive on solving complex data-related challenges, are passionate about building scalable data solutions, and are eager to see the direct consequences of your work on our business, we encourage you to apply!
Description
In this role, As a leader, you will be at the forefront of designing, building, and operating innovative data solutions that are not only scalable but also adept at applying various technologies and frameworks to meet our complex business needs.
Your team will work with massive internet-scale data across numerous infrastructure domains, undertaking in-depth quantitative analysis, identifying and resolving discrepancies to ensure data accuracy and completeness and distilling data into actionable and intuitive visualizations to drive informed decision-making.
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 framework 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
Your team will work with massive internet-scale data across numerous infrastructure domains, undertaking in-depth quantitative analysis, identifying and resolving discrepancies to ensure data accuracy and completeness and distilling data into actionable and intuitive visualizations to drive informed decision-making.
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 framework 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
Minimum Qualifications
- B.S in Computer Science, Mathematics, Statistics or similar field or equivalent experience.
- 3+ years of industry experience in Data Engineering, or Data Architecture, or Data Warehousing
- Experience in data visualization tools like Tableau, Power BI or others used for data analysis and presentation
- Experience in a leadership or managerial role
Preferred Qualifications
- M.S in Computer Science, Mathematics, Statistics or similar filed
- 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.
- Effectively and consistently communicate status updates at multiple levels throughout the organization
- Experience on negotiation skills and ability to influence partners without direct authority
- Experience managing highly-complex, cross functional projects
