Lead Data Center Capacity & Planning Architect

Meta; Menlo Park (CA); On-site; USD 184,000 - 257,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Data Center Central Planning Manager in Menlo Park to translate product and AI workload growth into actionable capacity roadmaps across power, cooling, space, and network. This role sits at the intersection of capacity engineering, portfolio planning, and investment decisioning, building quantitative analyses that inform major infrastructure choices.

You will partner across Capacity Engineering, Facilities, Network, Construction, Site Selection, Finance, and Operations to drive

Qualifications

• Bachelor's degree in CS, CE, or equivalent practical experience.
• 8+ years in data center/infrastructure/cloud with capacity planning.
• Strong quantitative modeling and scenario analysis skills.
• Hands-on Python and SQL for reproducible analyses.
• Ability to work with large, incomplete datasets.

Responsibilities

• Drive portfolio capacity plans linking demand to supply across MW, cooling, space, and network.
• Build and maintain planning models for scenarios, bottlenecks, and risks.
• Translate workload characteristics into facility and electrical requirements.
• Assess constraints and drive mitigation with partner teams.
• Develop decision packages and narratives with clear trade-offs.
• Align stakeholders and support governance with model hygiene.
• Drive cross-functional execution and track gap closure.

Skills

Python

SQL

Capacity planning

Scenario analysis

Data center

Stakeholder management

Power systems

Quantitative modeling

Data analysis

Network basics

Education

Bachelor's in CS/CE

Operations Research

Applied Math

Job description

Meta is seeking a Data Center Central Planning Manager in Menlo Park to translate product and AI workload growth into actionable capacity roadmaps across power, cooling, space, and network. This role sits at the intersection of capacity engineering, portfolio planning, and investment decisioning, building quantitative analyses that inform major infrastructure choices.

You will partner across Capacity Engineering, Facilities, Network, Construction, Site Selection, Finance, and Operations to drive