Building a data center tech stack: what GCs need from scheduling to closeout

A general contractor delivering data centers needs a technology stack with five connected layers: a CPM schedule that reflects equipment and commissioning logic, a system for documents and long-lead procurement, visual progress documentation tied to plans and schedule activities, quality and commissioning tracking, and a structured turnover package the owner can load into its operations systems. The individual products matter less than how well they share a common structure of buildings, halls, systems, and dates. When every layer speaks that same language, a GC can answer an owner’s question about readiness in minutes instead of days.

Why Dallas-Fort Worth contractors are rethinking their stack

North Texas sits at the center of one of the fastest construction booms in commercial real estate. CBRE’s report on North American data center demand in the first half of 2026 found that new construction across the eight primary North American markets rose 24.8%, with 7,481 megawatts under construction and more than 80% of that capacity already preleased. Vacancy in those markets held steady at 1.4%, and the report lists Dallas-Fort Worth inventory at 1,432.8 MW.

Power is the other pressure point. The U.S. Energy Information Administration’s analysis of record ERCOT load reports that hourly load on the Texas grid averaged a record 74.5 gigawatts for the week ending August 22, 2026, and notes that ERCOT is auditing proposals from data centers seeking to connect to the grid. For GCs, the combination of preleased capacity and constrained power means owners scrutinize every date that touches energization, and they expect contractors to show progress against those dates with precision.

Layer 1: scheduling built around equipment and commissioning

The schedule is the backbone of the stack. On data center work, it needs more than a typical building schedule: activity codes for each building, hall, and electrical or mechanical lineup; logic that links equipment delivery, setting, termination, energization, and each commissioning level; and clear contract milestones for each hall’s turnover.

Contractors expect technology to help here. The AGC and NCCER 2026 workforce survey results for data center contractors found that firms expect artificial intelligence to have the most impact on estimating and bidding (70%), document and contract review (68%), and scheduling and planning (65%). Whatever tools a GC chooses, the schedule should carry the same location and system codes used in every other layer, so progress, procurement, and commissioning can roll up to it.

Layer 2: documents, submittals, and long-lead procurement

Data centers are equipment-driven projects. Switchgear, transformers, generators, UPS systems, and cooling plant set the pace of the job, and supply is tight. In the same AGC survey, 30% of data center contractors cited longer lead times or shortages of electrical equipment as a cause of project delays.

The document and procurement layer should therefore track each long-lead item from submittal through approval, fabrication, factory testing, shipment, and delivery, with the expected date linked to the schedule activity it drives. A procurement log that lives in a separate spreadsheet, disconnected from the schedule, is one of the most common sources of surprise delays.

Layer 3: visual progress documentation

The field layer captures what is actually built. On a data center campus, that includes underground duct banks and grounding before backfill, in-slab conduit before pours, overhead busway and cable tray before ceilings, and equipment as it is set and terminated. Much of that work is hidden within weeks, so the record has to be captured on a predictable cadence and organized by location and date.

When GCs evaluate data center construction software for this layer, the practical requirements are consistent: 360-degree ground capture mapped to floor plans, drone imagery for sitework and large footprints, progress tracking that verifies work in place against the schedule to support pay applications and owner reports, and integrations that carry visual records into the project management platforms the team already uses. The goal is a record that a project manager, an owner’s representative, or a commissioning agent can open to confirm conditions without a site visit.

Market context: Per CBRE, more than 80% of data center capacity under construction in the primary North American markets in the first half of 2026 was already preleased. When tenants are waiting, owners expect verifiable progress against every hall’s turnover date.

Layer 4: quality and commissioning tracking

Data center commissioning typically moves through levels, from factory acceptance testing and delivery inspections through pre-functional checks, functional tests, and integrated systems testing. Each level generates checklists, test reports, issues, and sign-offs.

The quality and commissioning layer should:

• Track each system and piece of equipment through every commissioning level
• Link open issues to locations and responsible trades
• Feed readiness status back to the schedule, so integrated testing dates reflect real conditions
• Store test results where they can be pulled directly into the turnover package

GCs that keep commissioning status in a separate tracker from construction progress often struggle to give owners a single answer to the question “Is this hall ready?”

Layer 5: closeout and turnover

Closeout on a data center is a handover to an operations team that will run the facility around the clock. Owners increasingly expect structured information they can load into maintenance and asset management systems, not boxes of binders.

The National Institute of Building Sciences’ COBie standard, the Construction to Operations Building Information Exchange, provides a widely used format for that handover. NIBS notes that COBie can be used whenever a handover occurs, including at the end of new construction, and that it includes commissioning information captured during construction. For larger projects, it strongly recommends interim “data drops” at design and construction milestones.

That recommendation has a direct implication for the tech stack. If equipment information, warranties, test results, and as-built records are collected throughout the job in a consistent structure, the turnover package becomes an export. If they are collected at the end, closeout becomes a separate project.

Labor shortages make integration a necessity

Every layer of the stack is also a labor question. The AGC data center survey found that 92% of firms have openings for hourly craft positions, and 44% cite worker shortages, their own or their subcontractors’, as a cause of project delays. Salaried project staff are stretched just as thin.

A tech stack that requires people to re-enter the same information in four systems consumes hours that teams do not have. Integration between layers, and a shared location and system structure across them, is what lets a smaller team keep pace with a larger program.

A checklist for assembling the stack

• Define the structure first. Agree on building, hall, system, and equipment codes before choosing or configuring tools, and use them everywhere.
• Connect procurement to the schedule. Every long-lead item should drive a schedule activity.
• Capture before cover-up. Plan visual documentation around pours, wall close-ins, and ceiling installation.
• Keep commissioning and construction status together. Owners want one view of readiness.
• Collect turnover information as the job progresses. Use interim handover deliverables instead of a closeout scramble.
• Confirm owner security rules early. Many data center owners restrict cameras and devices on campus, so documentation plans need approval before work starts.
• Measure adoption. A tool that field staff do not use creates gaps in the record.

The bottom line

The Dallas-Fort Worth data center market rewards contractors who can show owners exactly where each hall stands and what remains before it goes live. A connected stack, from schedule through turnover, makes that possible with the staff GCs actually have. The contractors who build that foundation now will be better positioned for the next wave of campus expansions across North Texas.