Data Engineering Manager (Global Business Intelligence)

Santa Clara Valley (Cupertino), California, United States
Software and Services


Weekly Hours: 40
Role Number:200166821
The people here at Apple don’t just build products - they build the kind of wonder that has revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Are you passionate about solving large scale data engineering problems, want to make an impact and have the desire to work on ground breaking technologies to build solutions? Then we are looking for you. At Apple, excellent ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? We are looking for highly motivated, detailed, technically savvy, upbeat leaders who like to think in an unexpected way. Leaders who want to guide a team with many exciting responsibilities which include building quality, scalable and resilient distributed systems that power Apple's analytics platform and data pipelines. You will engage directly with key business partners to build strong relationships and understand their business strategies and solution needs. You will create and own solution roadmaps, and design and deliver high quality, scalable and resilient business solutions. You will need to translate complex business requirements into scalable technical solutions that meet these needs and are in line with the solution's strategic roadmap. You should be passionate about data and its nuances. Our Enterprise Data Warehouse landscape provides a wide variety of data solutions catering to different business functions like Retail, AppleCare, Operations, Finance and Marketing, enabling business drivers to make critical decisions. We use a diverse technology stacks such as Teradata, HANA, Vertica, Hadoop, Kafka, Spark, Cassandra and beyond.

Key Qualifications

  • Extensive understanding of global corporate business processes and their relationship to technology
  • Able to communicate and influence across disparate groups and levels in the organization
  • Ability to hire, mentor and give technical direction to the team members
  • Experience working with global teams across multiple time zones
  • Experience in handling high volume data solutions, including designing and building dimensional data models, exposure to cloud technologies
  • Database development experience with Relational and/or distributed systems such as Oracle/Teradata/Vertica/Hadoop/Redshift
  • Experience in defining application roadmaps and charters for team members
  • Programming experience in building high quality applications, data pipelines and analytics solutions
  • Should be proficient in writing Advanced SQLs with expertise in performance tuning of SQLs
  • Experience with data science and machine learning tools as well as cloud technologies is a plus
  • Proactively initiates, develops, and maintains effective working relationships with team members
  • Thrive in a dynamic environment, maintaining composure and a positive attitude
  • Strong analytical and communication skills
  • Should be ambitious, highly motivated and can work in an ambiguous environment creating clarity


This role will be responsible for driving strategic business analytics solutions, as well as driving technology decisions and development of foundational data engineering solutions which serve one or multiple business units. You will work with business partners to understand their goals and requirements and will define features and strategic roadmaps to meet those needs. In addition, you will be expected to keep abreast of, and plan for, technology changes as applicable to your solution landscape and industry standard methodologies. You will have overall ownership of solution features and will drive engineering teams in building them.

Education & Experience

BS degree or equivalent experience

Additional Requirements