Lead Principal Engineer for Data Center Architecture

Role Overview

This position is ideal for an experienced data center architect who enjoys solving complex infrastructure challenges across sites, campuses, and colocation facilities. You will play a pivotal role in enabling high-density AI deployments through thoughtful site selection, capacity planning, power and cooling design, connectivity planning, and multi-site readiness assessments.

This position is ideal for an experienced data center architect who enjoys solving complex infrastructure challenges across sites, campuses, and colocation facilities. You will play a pivotal role in enabling high-density AI deployments through thoughtful site selection, capacity planning, power and cooling design, connectivity planning, and multi-site readiness assessments.

Required Qualifications:

Required Qualifications:

Strong knowledge of modern data center and campus architecture, including power, cooling, networking, storage connectivity, physical infrastructure, colocation considerations, and operational resiliency.

• Strong knowledge of modern data center and campus architecture, including power, cooling, networking, storage connectivity, physical infrastructure, colocation considerations, and operational resiliency.

Strong knowledge of modern data center and campus architecture, including power, cooling, networking, storage connectivity, physical infrastructure, colocation considerations, and operational resiliency.

Experience developing AI infrastructure deployment strategies across sites, campuses, or colocation environments.

• Experience developing AI infrastructure deployment strategies across sites, campuses, or colocation environments.

Experience developing AI infrastructure deployment strategies across sites, campuses, or colocation environments.

Ability to evaluate site and data-hall constraints, including physical layout, rack placement, power availability, cooling capacity, density limits, and serviceability.

• Ability to evaluate site and data-hall constraints, including physical layout, rack placement, power availability, cooling capacity, density limits, and serviceability.

Ability to evaluate site and data-hall constraints, including physical layout, rack placement, power availability, cooling capacity, density limits, and serviceability.

Experience with capacity planning and rack-power modeling for high-density AI infrastructure.

• Experience with capacity planning and rack-power modeling for high-density AI infrastructure.

Experience with capacity planning and rack-power modeling for high-density AI infrastructure.

Strong understanding of high-performance networking, scale-out connectivity, and storage-related network demand for AI environments.

• Strong understanding of high-performance networking, scale-out connectivity, and storage-related network demand for AI environments.

Strong understanding of high-performance networking, scale-out connectivity, and storage-related network demand for AI environments.

Ability to develop flexible infrastructure options and late-binding strategies as technology, capacity, and customer requirements evolve.

• Ability to develop flexible infrastructure options and late-binding strategies as technology, capacity, and customer requirements evolve.

Ability to develop flexible infrastructure options and late-binding strategies as technology, capacity, and customer requirements evolve.

Strong communication skills, including the ability to articulate architectural decisions, deployment risks, customer commitments, and tradeoffs to technical and executive stakeholders.

• Strong communication skills, including the ability to articulate architectural decisions, deployment risks, customer commitments, and tradeoffs to technical and executive stakeholders.

Strong communication skills, including the ability to articulate architectural decisions, deployment risks, customer commitments, and tradeoffs to technical and executive stakeholders.

Ability to coordinate effectively across facilities, network, storage, colocation, hardware, software, and business teams.

• Ability to coordinate effectively across facilities, network, storage, colocation, hardware, software, and business teams.

Ability to coordinate effectively across facilities, network, storage, colocation, hardware, software, and business teams.

Responsibilities

Preferred Qualifications: 8+ years of experience in data center architecture, infrastructure engineering, capacity planning, or large-scale cloud infrastructure deployment. Experience with AI labs, high-density AI infrastructure, HPC environments, or large-scale cloud campuses. Experience with site selection, colocation evaluation, campus planning, and data-hall layout optimization. Experience with power and cooling design, power capping, thermal assessment, densification, and infrastructure lifecycle planning.

Preferred Qualifications:

Preferred Qualifications:

8+ years of experience in data center architecture, infrastructure engineering, capacity planning, or large-scale cloud infrastructure deployment.

• 8+ years of experience in data center architecture, infrastructure engineering, capacity planning, or large-scale cloud infrastructure deployment.

8+ years of experience in data center architecture, infrastructure engineering, capacity planning, or large-scale cloud infrastructure deployment.

Experience with AI labs, high-density AI infrastructure, HPC environments, or large-scale cloud campuses.

• Experience with AI labs, high-density AI infrastructure, HPC environments, or large-scale cloud campuses.

Experience with AI labs, high-density AI infrastructure, HPC environments, or large-scale cloud campuses.

Experience with site selection, colocation evaluation, campus planning, and data-hall layout optimization.

• Experience with site selection, colocation evaluation, campus planning, and data-hall layout optimization.

Experience with site selection, colocation evaluation, campus planning, and data-hall layout optimization.

Experience with power and cooling design, power capping, thermal assessment, densification, and infrastructure lifecycle planning.

• Experience with power and cooling design, power capping, thermal assessment, densification, and infrastructure lifecycle planning.

Experience with power and cooling design, power capping, thermal assessment, densification, and infrastructure lifecycle planning.

Experience evaluating multi-site deployment readiness and managing platform or capacity pivots. Familiarity with accelerator platform requirements and their implications for power, cooling, networking, storage, and facility design.

Experience evaluating multi-site deployment readiness and managing platform or capacity pivots.

• Experience evaluating multi-site deployment readiness and managing platform or capacity pivots.

Experience evaluating multi-site deployment readiness and managing platform or capacity pivots.

Familiarity with accelerator platform requirements and their implications for power, cooling, networking, storage, and facility design.

• Familiarity with accelerator platform requirements and their implications for power, cooling, networking, storage, and facility design.

Familiarity with accelerator platform requirements and their implications for power, cooling, networking, storage, and facility design.

Application Instructions

Apply directly on Oracle Careers at Lead Principal Engineer for Data Center Architecture↗.