Lead Principal Engineer for Data Center Architecture

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
—
Salary
$146,300–$306,400 / yr
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k
This role $226k
$115k $327k
below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $174,600–$225,500 — the blue band above. At the midpoint, this role pays about $226k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 905 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 736 roles with salary data.

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At a glance

TL;DR · Lead Principal Engineer for Data Center Architecture

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The Lead Principal Engineer for Data Center Architecture serves as an individual contributor responsible for solving complex infrastructure challenges across sites, campuses, and colocation facilities. This role focuses on enabling high-density AI deployments through strategic site selection, capacity planning, and the design of power, cooling, and connectivity systems. The engineer will perform rack-power modeling, thermal assessments, and multi-site readiness evaluations to support high-performance networking and storage-related network demands. Key technical competencies include knowledge of physical infrastructure, operational resiliency, and accelerator platform requirements. The position requires coordinating across facilities, network, storage, hardware, and software teams to develop flexible infrastructure options and late-binding strategies. This work addresses the specific technical problems of densification and infrastructure lifecycle planning within large-scale cloud campuses and AI labs.

Skills

Data Center Architecture AI Infrastructure Capacity Planning Power and Cooling Design High-Performance Networking Storage Connectivity Colocation HPC Thermal Assessment Infrastructure Lifecycle Planning Site Selection Rack-Power Modeling Cloud Infrastructure Data-Hall Layout Optimization

What you'll do

  • Design infrastructure for high-density AI deployments across sites, campuses, and colocation facilities.
  • Perform site selection and evaluate data-hall constraints including physical layout and power availability.
  • Conduct capacity planning and rack-power modeling for high-density AI infrastructure.
  • Design power, cooling, and high-performance networking solutions for AI environments.
  • Develop flexible infrastructure options and late-binding strategies for evolving technology requirements.
  • Perform multi-site readiness assessments and manage platform or capacity pivots.
  • Articulate architectural decisions, deployment risks, and technical tradeoffs to executive stakeholders.

What we're looking for

  • Must have 10+ years of experience.
  • Must be able to read, write, and speak English.
  • Must have strong knowledge of modern data center and campus architecture, including power, cooling, networking, and storage connectivity.
  • Must have experience developing AI infrastructure deployment strategies across sites, campuses, or colocation environments.
  • Must be able to evaluate site and data-hall constraints, including physical layout, rack placement, and power availability.
  • Must have experience with capacity planning and rack-power modeling for high-density AI infrastructure.
  • Must have strong communication skills to articulate architectural decisions and risks to technical and executive stakeholders.
  • 8+ years of experience in data center architecture, infrastructure engineering, or large-scale cloud infrastructure deployment (preferred).

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