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.
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Strong knowledge of modern data center and campus architecture, including power, cooling, networking, storage connectivity, physical infrastructure, colocation considerations, and operational resiliency.
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Ability to evaluate site and data-hall constraints, including physical layout, rack placement, power availability, cooling capacity, density limits, and serviceability.
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Strong communication skills, including the ability to articulate architectural decisions, deployment risks, customer commitments, and tradeoffs to technical and executive stakeholders.
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Ability to coordinate effectively across facilities, network, storage, colocation, hardware, software, and business teams.
Internal 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.
Familiarity with accelerator platform requirements and their implications for power, cooling, networking, storage, and facility design.
External 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.
