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Data Architect - Commerce & Subscription Analytics

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Apple Inc.
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, AI Engineer
Salary/Wage Range or Industry Benchmark: 181100 - 318400 USD Yearly USD 181100.00 318400.00 YEAR
Job Description & How to Apply Below

Cupertino, California, United States Software and Services

Are you a Technical Data Product/Project Leader passionate about driving the development of reliable, privacy-compliant data products that empower strategic executive decisions? Do you excel at bridging technical architecture with product strategy and project execution to 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 for Apple Services!

As a Technical Product Lead focused on Data Engineering, you will be the strategic bridge between data scientists, engineers, and product teams. Your primary responsibility will be to define, design, and deliver data products that empower teams to perform cutting-edge analysis, build machine learning models, and drive impactful business outcomes. You’ll combine technical product management expertise with hands-on data engineering capabilities to prototype solutions and guide implementation.

Description

In this role, you will lead the product strategy and project execution for strategic data solutions, maintaining deep technical involvement. You’ll work closely with data scientists and engineers to understand their needs, prototype innovative solutions, and translate complex requirements into actionable data product roadmaps. You will drive the development of software components and end-to-end data products, establishing timelines, roadmaps, resources, critical paths, and budgets.

Your unique combination of product management skills, technical depth, and project leadership will ensure data products are built to the highest standards of quality, scalability, and user experience, directly influencing technical product/feature direction to enhance customer experience and meet legal/business requirements.

Responsibilities
  • Define and champion the data product vision, strategy, and roadmap for critical Pricing, Commerce, and Mercury data products.
  • Develop detailed product requirements and specifications, ensuring alignment with stakeholder needs and privacy standards.
  • 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
  • 5+ years of experience as a Technical Product Management, Data Engineering, or Data Architecture roles
  • 5+ years of hands‑on data architecture/product 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.

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…

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