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Apple Services Engineering (ASE) teams build and scale the platforms and infrastructure behind many of Apple's services - including iCloud, iTunes, Siri, and Maps. The Capacity Engineering team sits at the center of how Apple plans, buys, and operates the compute, storage, and data-services capacity those services run on. We are looking for a Senior Data Engineering Manager to lead the data engineering team that turns raw fleet, demand, and supply signals into the trusted data and insight that drive Apple's infrastructure and capacity-planning strategy.

This is a hands-on leadership role. You will own the data lake at the heart of capacity engineering - the single source of truth for supply, demand, utilization, and cost across Apple's cloud - and lead a talented, geographically distributed team that builds the ingestion pipelines, data models, and analytics that leadership relies on to make multi-hundred-million-dollar capacity decisions.

Description

Reporting into Capacity Engineering, you will lead a team of engineers responsible for the capacity data lake and the pipelines, services, and analyses built on top of it. Your team owns the data that connects customer demand, platform supply, hardware fulfillment, utilization, and cost - and makes it accurate, governed, and accessible to planners, finance, platform owners, and executives.

You will set the technical direction for how capacity data is ingested, modeled, governed, and served; hold a high bar on data quality and reliability; and partner closely with forecasting, reservation/quota, platform, and finance teams as well as our Engineering Program Management partners. You will be a visible technical contributor, going deep into architecture, data models, and thorny data-quality problems alongside the team, rather than directing from a distance.

This is a chance to build foundational capacity-data systems that are central to capacity availability - one of the most critical topics for Apple's infrastructure - where the impact of getting it right is immediate and organization-wide.

","responsibilities":"Reporting into Capacity Engineering, you will lead a team of engineers responsible for the capacity data lake and the pipelines, services, and analyses built on top of it. Your team owns the data that connects customer demand, platform supply, hardware fulfillment, utilization, and cost - and makes it accurate, governed, and accessible to planners, finance, platform owners, and executives.

You will set the technical direction for how capacity data is ingested, modeled, governed, and served; and partner closely with forecasting, reservation/quota, platform, and finance teams as well as our Engineering Program Management partners. You will be a visible technical contributor, going deep into architecture, data models, and thorny data-quality problems alongside the team, rather than directing from a distance.

This is a chance to build foundational capacity-data systems that are central to capacity availability - one of the most critical topics for Apple's infrastructure - where the impact of getting it right is immediate and organization-wide.

Preferred Qualifications

Experience managing across locations and time zones; experience managing managers is a plus.

Domain experience in cloud infrastructure and capacity planning - supply/demand, forecasting, utilization/efficiency, cost optimization, or fulfillment.

Familiarity with capacity and cost concepts across first-party and third-party cloud (CAPEX vs. OPEX vs. cloud spend), chargeback/showback, and attribution.

Experience building the data foundations for forecasting, planning, or FinOps-style cost/efficiency programs.

Experience introducing AI/LLM-assisted tooling into data engineering and analytics workflows.

Background in data governance, access control, or compliance-sensitive data environments.

A builder's mindset - comfortable establishing foundational systems and processes where they don't yet exist.

Minimum Qualifications

BS/MS in Computer Science, Engineering, or equivalent practical experience.

3+ years of engineering leadership experience, including hiring, mentoring, and growing engineers.

Strong, hands-on data engineering background - designing and operating data lakes, data models, and large-scale ingestion/ETL pipelines, with a track record of driving data quality, governance, and accessibility.

Experience with modern big-data and data-lake technologies such as Spark, Databricks, Hadoop, and cloud data stores (e.g., Aurora / S3-compatible storage).

Ability to remain technically hands-on - leading architecture reviews, modeling data, and going deep into technical detail.

Strong data-analysis instincts: able to derive and communicate business insight from complex, heterogeneous data.

Excellent written and verbal communication; able to present technical strategy and data-driven recommendations to both engineers and senior leadership.

Willingness and ability to be based in Seattle and to lead a geographically distributed team.

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 $225,600 and $338,400, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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