Lead Principal Engineer for Data Center Architecture

Oracle Corporation; Nashville (TN); Vor Ort; USD 120.000 - 170.000; Vollzeit

Zusammenfassung

Oracle Corporation is seeking an experienced data center architect to solve complex infrastructure challenges across sites and colocation facilities. You will enable high-density AI deployments through thoughtful site selection, capacity planning, power and cooling design, connectivity planning, and multi-site readiness assessments.

The role requires deep knowledge of data center architecture, ability to evaluate site constraints, and strong communication to articulate decisions to technical and

Qualifikationen

• Strong knowledge of data center and campus architecture.
• Experience deploying AI infrastructure across sites.
• Ability to evaluate site constraints: layout, rack placement, power, cooling, density, serviceability.
• Experience with capacity planning and rack-power modeling for high-density AI infra.
• Understanding of high-performance networking and storage demand for AI environments.
• Ability to develop flexible, late-binding infrastructure options.
• Strong communication to explain decisions and risks to tech and exec stakeholders.
• Ability to coordinate across facilities, network, storage, colocation, hardware and software teams.

Kenntnisse

Data center architecture

Power design

Cooling design

Networking

Storage connectivity

Capacity planning

AI infrastructure

Site selection

Coordination

Communication

Jobbeschreibung

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:

• 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.
• 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.
• 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.
• 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.