Senior Data Engineering Manager, Capacity Engineering, Apple Services Engineering

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $225,600–$338,400 / yr
Posted: 89 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k

This role $282k

$143k $359k

below market most similar roles pay here above market

This role pays more than 93% of similar roles. Most pay $177,843–$243,600 — the blue band above. At the midpoint, this role pays about $282k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Senior Data Engineering Manager, Capacity Engineering, Apple Services Engineering

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The Senior Data Engineering Manager - Capacity Engineering, Apple Services Engineering leads a geographically distributed team within the Capacity Engineering group. This hands-on leadership role involves owning the capacity data lake, which serves as the single source of truth for supply, demand, utilization, and cost across the cloud. The manager will set technical direction for ingestion pipelines, data models, and governance while ensuring high data quality for multi-hundred-million-dollar capacity decisions. Key responsibilities include building foundational systems that connect customer demand to hardware fulfillment and cost optimization. Required technical skills include experience with Spark, Databricks, Hadoop, and cloud data stores like Aurora or S3-compatible storage. The role solves critical infrastructure problems by transforming raw fleet signals into trusted insights for forecasting and capacity planning.

Skills

Data Engineering Spark Databricks Hadoop ETL Data Lake S3 Aurora Data Governance Cloud Infrastructure FinOps AI LLM Data Quality Capacity Planning

What you'll do

Lead a geographically distributed team of engineers responsible for the capacity data lake and associated pipelines.
Own the data connecting customer demand, platform supply, hardware fulfillment, utilization, and cost.
Set the technical direction for how capacity data is ingested, modeled, governed, and served.
Maintain high standards for data quality, reliability, and accessibility for planners, finance, and executives.
Act as a visible technical contributor by performing deep-dive architecture reviews and solving thorny data-quality problems.
Build foundational capacity-data systems to drive multi-hundred-million-dollar infrastructure and capacity-planning decisions.
Partner with forecasting, reservation, platform, and finance teams to provide accurate data insights.

What we're looking for

BS/MS in Computer Science, Engineering, or equivalent practical experience.
3+ years of engineering leadership experience, including hiring, mentoring, and growing engineers.
Hands-on data engineering background in designing data lakes, data models, and large-scale ingestion/ETL pipelines.
Experience with big-data technologies such as Spark, Databricks, Hadoop, and cloud data stores.
Ability to remain technically hands-on by leading architecture reviews and modeling data.
Strong data-analysis instincts to derive and communicate business insights from complex data.
Excellent written and verbal communication skills to present technical strategy to engineers and senior leadership.
Willingness and ability to be based in Seattle to lead a geographically distributed team.