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Senior Data Engineering Manager - Capacity Engineering, Apple Services Engineering

Apple· Software and Services
Apply on company site
Hybrid (Seattle, WA)$225.6k - $338.4kfull-timePosted 2mo ago

About the role

Senior leadership role responsible for the capacity data lake and related ingestion pipelines, models, and analytics that drive Apple's infrastructure capacity planning. Hands-on manager leading a geographically distributed team to ensure data quality, governance, and accessibility for planners, finance, platform owners, and executives.

Responsibilities

  • Lead a team of engineers responsible for the capacity data lake, pipelines, services, and analyses built on top of it.
  • Own data connecting customer demand, platform supply, hardware fulfillment, utilization, and cost, ensuring accuracy, governance, and accessibility to stakeholders.
  • Set technical direction for ingestion, modeling, governance, and serving of capacity data; uphold data quality and reliability.
  • Partner with forecasting, reservation/quota, platform, finance, and Engineering Program Management teams.
  • Be a visible technical contributor, deep-diving into architecture, data models, and data-quality problems alongside the team.

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 data quality, governance, and accessibility focus.
  • Experience with Spark, Databricks, Hadoop, and cloud data stores (e.g., Aurora / S3-compatible storage).
  • Ability to remain technically hands-on—leading architecture reviews, data modeling, and technical detail.
  • Strong data-analysis instincts and ability to derive business insight from complex data.
  • Excellent written and verbal communication; able to present technical strategy to engineers and senior leadership.
  • Willingness and ability to be based in Seattle and lead a geographically distributed team.

Skills

Required:Data lake design and governanceBig data technologiesCloud data storesData modelingData quality and governanceLeadership and mentoringCommunication to leadership
Nice to have:Forecasting/FinOps or capacity planning domain knowledgeAI/LLM tooling in data workflows

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and services
  • reimbursement for certain educational expenses (tuition)
  • discretionary bonuses or commission potential
  • relocation assistance
  • eligibility for Apple stock programs ( RSU, Employee Stock Purchase Plan)
Last updated Oct 9, 2026. Interested? Apply on the company site.

About Apple

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