Define and own Lambda’s data center engineering standards for high-density AI and GPU infrastructure environments
Create repeatable reference architectures, design patterns, technical specifications, and deployment standards that improve speed, quality, reliability, and consistency across data center builds
Develop the engineering “operating system” for data center scale, including standards libraries, design review processes, decision records, quality gates, commissioning criteria, acceptance checklists, exception processes, and operational handoff frameworks
Translate lessons learned from individual deployments into reusable mechanisms that make future deployments safer, faster, and more predictable
Establish technical standards across areas such as power distribution, cooling, liquid cooling readiness, rack integration, structured cabling, fiber management, network rooms, out-of-band management, telemetry, DCIM/BMS integrations, physical security, maintainability, and operational readiness
Lead cross-functional architecture reviews for new data center designs, expansions, retrofits, and infrastructure programs
Identify organizational bottlenecks and design systems, tools, and workflows that reduce ambiguity, improve accountability, and help teams execute at scale
Build governance mechanisms for standards adoption, including exception management, risk reviews, lifecycle ownership, metrics, and continuous improvement loops
Act as a technical advisor to senior engineering and infrastructure leadership on data center strategy, design tradeoffs, resiliency, operational risk, and scalability
Mentor engineers and technical leaders across the organization by raising the bar for systems thinking, documentation, design rigor, and operational excellence