Lead Principal Engineer for Data Center Architecture
United States2w ago
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Key details
- Salary
- $146K/yr
- Location
- United States
- Work style
- Onsite
- Level
- Lead / Staff+
- Experience
- 8–11 yrs
- Function
- IT & Security operations
- Focus area
- Infrastructure / Cloud
- Posted
- 2w ago
Skills
About the role
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:
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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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Experience developing AI infrastructure deployment strategies across sites, campuses, or colocation environments.
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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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Experience with capacity planning and rack-power modeling for high-density AI infrastructure.
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Strong understanding of high-performance networking, scale-out connectivity, and storage-related network demand for AI environments.
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Ability to develop flexible infrastructure options and late-binding strategies as technology, capacity, and customer requirements evolve.
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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.
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.