Engineering Manager, App Store Data
Apple's App Store serves half a billion customers every week across every Apple device, and has fundamentally changed how people discover, access, and build software since 2008. It is central to Apple's business and to the global developer ecosystem. Building and leading the data team behind it means operating at a level of scale, accountability, and organizational influence that few engineering leaders encounter.
Description
We are seeking an Engineering Manager to lead App Store's data engineering and analytics team. This team owns compliance-critical data products: pipelines and analytical outputs subject to regulatory and privacy obligations, as well as analytics engineering, EDA, ML-based pipeline health monitoring, and self-serve data products.
The EM is accountable not just for delivery, but for the correctness of compliance data products and team adherence to compliance controls. This role blends technical depth with people leadership - you'll lead with empathy and energy, guide engineering execution, ensure operational excellence, and stay hands-on in key parts of our data ecosystem. You will partner closely with stakeholders across the App Store business to translate strategic priorities into scalable data solutions, sustainable delivery practices, and a strong culture of ownership and growth.
AI-native development is a standard operating mode with EM expected to model and champion AI-native engineering practices across the full SDLC.
","responsibilities":"Develop and own the vision for Analytics Engineering, delivering curated datasets, dashboards, and internal data products. Define outcomes and communicate prioritization, progress, and impact to leadership
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Establish and enforce standards for metrics, data governance, documentation, and SLAs, overseeing data quality with proactive issue resolution through alerting and root-cause analysis
Build, coach, and elevate a high-performing analytics engineering team, setting clear goals and fostering a culture of inclusion, learning, and operational excellence
Collaborate closely with product and engineering to prioritize the analytics engineering roadmap and drive data-driven decision-making
Scale data self-service and literacy by expanding documentation, training, and enablement in key tools and dashboards, empowering stakeholders to explore data independently
Guide architectural and operational excellence across data pipelines, championing best practices in code review and version control for enhanced reliability
Build in-person relationships with team members and contribute to Apple's company culture
Guide the team's adoption of LLM-augmented workflows across requirements analysis, pipeline generation, test coverage, documentation, and incident triage
Maintain a disciplined approach to AI tool output, especially in compliance-critical contexts where AI-generated code requires the same review rigor as human-authored code
Preferred Qualifications
Experience with Regulatory and Compliance engineering - GDPR operational requirements, data minimization, DMA, DSA obligations, Privacy-first data architecture at a technical level.
Experience working with privacy, legal and regulatory stakeholders in an engineering capacity
Minimum Qualifications
7+ years in analytics engineering, data engineering, or analytics, with strong hands-on SQL, Python or Java, Scala and data modeling expertise
3+ years of people leadership experience, including hiring, coaching, and performance management in analytics/data teams
Proven ability to define semantic layers and build scalable dashboards; experience with Trino, Superset or other BI/visualization tools.
Experience building and operating data pipelines with robust validation and monitoring; high bar for data quality
Excellent communication; proven success partnering with cross-functional stakeholders (Product, Engineering, Legal, Privacy etc.) to define KPIs and deliver measurable outcomes
Track record of driving projects end-to-end and demonstrating clear outcomes and impact
Active use of AI coding assistants and LLM-augmented workflows in a professional engineering context and models AI-native practices for the team
Bachelor's Degree in Computer Science, Engineering or a Quantitative discipline (e.g., Statistics, Economics, Mathematics)","internalDetails":null
Pay & Benefits
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 $228,100 and $342,800, 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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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