Data Center Architect

About the role

TLDR; Davis is looking for an architect who has already run data center feasibility studies on their own, and who can answer the question a client asks in front of a site: how many megawatts can this land absorb. We expect three to five years on the data center product, with two or three projects seen end to end. About Davis Davis is an AI-native real estate company accelerating early-stage development and architectural design. Today developers coordinate 4-5 fragmented stakeholders over weeks or months. Soon they'll need only one: Davis. We turn every input that shapes a development decision into decision-ready outputs: investor-grade feasibility studies, investment analysis, and architect-certified designs, delivered in days. Every stage pairs our proprietary AI systems with expert review, so velocity never comes at the cost of reliability. We closed a $5.5M pre-seed co-led by Heartcore Capital and Balderton Capital, with Yellow, Evantic and Entrepreneur First, alongside angels from the founding teams of Spacemaker, Black Forest Labs, Hugging Face, Supabase, Cleo and Spore Bio. We already work with leading developers and expect to support hundreds of projects over the coming year, deepening our research, our hiring, and our coverage of the development process end to end. The Role The data center market is structuring fast, operators and landowners are hunting for sites, and the question they ask is one of capacity: how many megawatts of IT load does this land carry, under what scheme, and on what conditions. We answer in days where the market takes weeks. You will be the person who answers for that number. You will run a portfolio of test fits and data center feasibility studies, with occasional work on large logistics and industry. Under the supervision of a lead architect, you take these projects from first capacity through to schematic design, and you present them to the client. The core of the role Establish a site's capacity in IT megawatts, working from the local zoning rules and operating constraints, and set out the assumptions behind it. Qualify the applicable land-use category and the environmental-classification regime for industrial facilities, and derive from them the permitted height, the setbacks and the siting conditions. Draw the data halls at their real grid, fully laid out, with their aisles, their air-handling units and their structural grid. Compose the industrial site plan: service yards, a perimeter heavy-vehicle road, loading docks, retention basins, planted buffers, access and parking. Arbitrate between schemes, one level, two levels or more, while respecting the slab-to-slab height and the zoning height cap. Name the questions to put to the operator: cooling system, density per rack, electrical redundancy, hall dimensions, height. Carry your number in front of the client, and defend it under challenge. Place the project on its critical path: grid connection, environmental permitting, ecological surveys, preventive archaeology. Contribute to the technology Formalize data center best practice, translating the sizing cascade, the grids and the thresholds into criteria our AI teams can use. Qualify the model's outputs, saying what is right, what is wrong, and on what grounds. Work across the product, tech and real estate teams, inside the tool's continuous-improvement cycles. Work as a team Take part in project reviews and exchange with the other architects to improve the methods and the quality of the deliverables. Contribute to the team's graphic standards. What We’re Looking For Education: a degree in architecture. Experience: we count projects as much as years. Three to five years on the data center product, with two or three projects seen across their full cycle. One of them should be a project you carried yourself, from capacity through to permit or schematic design. A background in large logistics or industrial buildings is a valid base, provided you add that data center experien

Skills