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.
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.
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.
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
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Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.