**Weekly Hours:** 40 **Role Number:** 200629993-0836 **Summary** Are you a Data Architect passionate about empowering Data Scientists? Do you excel at designing and building data solutions that unlock the full potential of data? At Apple, we turn innovative ideas into groundbreaking products and services at an incredible pace. Join us and play a critical role in shaping the future of data-driven decision-making! Our Data Science & Analytics team is dedicated to enhancing customer experiences, accelerating growth, and uncovering new business opportunities, all while upholding the highest standards of user privacy. We collaborate closely with product, design, engineering, marketing, and business teams to optimize our world-class e-commerce and media streaming services. As a Data Architect focused on Data Science enablement, you will be the bridge between data scientists, engineers, and product teams. Your primary responsibility will be to define, design and deliver data products that empower data scientists to perform cutting-edge analysis, build machine learning models, and drive impactful business outcomes. You'll also work closely with data engineers to ensure that data is properly modeled, accessible, and optimized for data science workflows. **Description** In this role, you will work closely with data scientists to understand their data needs, identify opportunities for improvement, and prioritize data product development efforts. You will be translating complex technical concepts into clear and concise data models and requirements for engineering teams to ensure that data products are built to the highest standards of quality, scalability, and reliability. **Minimum Qualifications** + 5+ years of experience as a Data Engineer, Data Architect, or similar role + 5+ years of hands-on data architecture design, including conceptual, logical, and physical data models + 3+ years leading enterprise data architecture initiatives and cross-functional technical programs + 3+ years of experience in Python, SQL, and modern data stack technologies + Proven experience defining data strategy and architecture roadmaps aligned with business objectives + Excellent communication, collaboration, and presentation skills + Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field **Preferred Qualifications** + Experience in data warehouses, data lakes, real-time processing, ML platforms + Experience working with Commerce, Subscription or Pricing data systems + Track record of implementing innovative data architecture solutions + Experience with schema evolution and versioning strategies + Experience with data product management and customer-facing data solutions + Masters degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .