Senior Data Engineering Manager Capacity Engineering, Apple Services Engineering

At Apple we believe that innovation flourishes in an environment where ideas are challenged collaboration is encouraged and technology is pushed to its limits. This environment is only possible when diverse minds come together bringing unique perspectives and experiences. Our people and their ideas inspire innovation in everything we do. Imagine what you could accomplish here!nnApple Services Engineering (ASE) teams build and scale the platforms and infrastructure behind many of Apples 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 Apples infrastructure and capacity-planning 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 Apples 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.n

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

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

BS/MS in Computer Science Engineering or equivalent practical experience.n5 years of engineering leadership experience including hiring mentoring and growing 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 with modern big-data and data-lake technologies such as Spark Databricks Hadoop and cloud data stores (e.g. Aurora / S3-compatible storage).nAbility to remain technically hands-on leading architecture reviews modeling data and going deep into technical data-analysis instincts: able to derive and communicate business insight from complex heterogeneous written and verbal communication; able to present technical strategy and data-driven recommendations to both engineers and senior and ability to be based in Seattle and to lead a geographically distributed team.

Experience managing across locations and time zones; experience managing managers is a experience in cloud infrastructure and capacity planning supply/demand forecasting utilization/efficiency cost optimization or with capacity and cost concepts across first-party and third-party cloud (CAPEX vs. OPEX vs. cloud spend) chargeback/showback and building the data foundations for forecasting planning or FinOps-style cost/efficiency introducing AI/LLM-assisted tooling into data engineering and analytics in data governance access control or compliance-sensitive data builders mindset comfortable establishing foundational systems and processes where they dont yet exist.