Director of Engineering, AiDP Data Services

Apple Inc

Sunnyvale, CA

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Apple, Artificial Intelligence (AI), Best Practices, Cloud Computing, Computer Science, Consumer Electronics, Data Analysis, Data Management, Data Modeling, Data Quality, Data Structures, Database Administration, Diversity, Ecosystems, Electronics Manufacturing Services, GCP (Good Clinical Practices), Information/Data Security (InfoSec), Leadership, Machine Learning, Machining Operations, Mentoring, Microsoft Windows Azure, NoSQL, Open Source Databases, Process Improvement, Product Engineering, Software Development
LOCATION
Sunnyvale, CA
POSTED
11 days ago

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because each of us shares the belief that we can create something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something."

AI & Data Platforms (AiDP) is IS&Ts engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. We are seeking an experienced and visionary Engineering Director to lead our Data Services organization. This critical role will be responsible for defining, developing, and managing the data strategy and platforms that underpin our diverse product portfolio, spanning consumer electronics, services, and manufacturing. The data store technologies span diverse data structures, including but not limited to Search, Vector, Graph, Relational, NoSQL, Cache, Queues, and Enterprise Analytics solutions. The successful candidate will drive innovation in data engineering, database management, and both transactional and analytics data platforms to support the company's expansive and evolving data needs.Define and execute the strategic roadmap for data services, aligning with overall business objectives and technological advancements. Lead and mentor a high-performing team of data architects, data engineers, and database professionals. Oversee the design, development, and maintenance of open-source and commercial databases for highly scalable and robust data platforms. Ensure the reliability, performance, and security of all data systems. Drive the adoption of best practices in data engineering, data quality, and data governance. Bring Next Gen AI capabilities into the data platforms to enhance functionality and insights. Collaborate with product, engineering, and business teams to understand data requirements and deliver innovative data solutions. Evaluate and integrate new data technologies and tools to enhance capabilities and efficiency.MS or PhD in Computer Science or a related technical field. 20+ years of progressive experience in large-scale enterprise environments. At least 10 years of focused experience in data engineering, database management, and the development/operation of transactional and analytics data platforms. Proven leadership in managing and scaling data services for complex, high-volume data ecosystems. Deep expertise in modern data architectures, data governance, and data security best practices. Strong understanding of the data challenges and opportunities within consumer electronics, services, and manufacturing sectors. Exceptional communication, strategic thinking, and leadership skills, with the ability to influence and collaborate across diverse teams.Experience with cloud-native data platforms and services (e.g., AWS, Azure, GCP). Familiarity with machine learning operations (MLOps) and integrating AI/ML models into data pipelines. Demonstrated ability to drive cultural change and adoption of new data technologies. Experience in a highly regulated industry or with stringent data compliance requirements.

About the Company

A

Apple Inc

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer/IT Services
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs