Data Architect - Commerce & Subscription Analytics

Data Architect - Commerce & Subscription Analytics

Cupertino, California, United States Software and Services

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.

Responsibilities

• Independently design and model datasets that enable data science capabilities.
• Manage an evolving data schema ensuring that data structures can extend over time while also maintaining backward compatibility.
• Collaborate with Business Intelligence and Data Science teams to design aggregate tables used across multiple teams and workflows.
• Collaborate with data scientists to understand their data needs, identify opportunities for improvement, and prioritize data product development efforts.
• Develop detailed data product requirements and specifications, ensuring alignment with data science needs.
• Define and champion the data product vision, strategy, and roadmap for data science capabilities.

Minimum Qualifications

Preferred Qualifications

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172,100 and $305,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including : Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note : Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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.

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