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Field Engineering, Data Center SME

Job in Norcross, Gwinnett County, Georgia, 30003, USA
Listing for: Computacenter AG & Co. oHG
Full Time position
Listed on 2026-10-15
Job specializations:
  • Manufacturing / Production
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below

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About the role

We are seeking a Field Engineering Subject Matter Expert focused on Data Center delivery to help define how complex enterprise and hyperscale field work is prepared, delivered, validated, and improved. This is a senior technical individual contributor role for someone who combines deep data center field experience with the ability to turn that experience into standards, technical work packages, methods, training, partner qualification, and scalable delivery capability.

You will work across the full opportunity and delivery lifecycle. That includes supporting Sales and Solutions on complex opportunities, validating field feasibility, improving estimating assumptions, establishing technical standards and required artifacts, supporting high risk projects and escalations, developing employees and partners, and helping ensure consistent quality at scale. A key part of the role is closing the loop between what we sell, what the field actually encounters, and how we improve the next delivery model and estimate.

What

you'll be doing
  • Serve as the practice level technical authority for Data Center delivery across Field Engineering.
  • Actively support complex customer pursuits and the sales motion by reviewing scope, field conditions, technical assumptions, acceptance requirements, labor drivers, comparable field experience, and delivery risk.
  • Partner with Sales, Solutions, and Costing / Estimating to determine whether proposed work is technically feasible, properly scoped, supportable, and grounded in current field experience before customer commitments are made.
  • Develop and maintain repeatable technical standards, work package requirements, methods, readiness criteria, quality checklists, testing requirements, documentation standards, and acceptance evidence.
  • Define repeatable rack build, hardware deployment, white space, migration, quality, cleanliness, labeling, evidence, and acceptance methods for enterprise and hyperscale programs.
  • Support Project Engineers and delivery teams during complex deployments, escalations, quality issues, root cause analysis, and customer recovery situations.
  • Define technical skills, training, assessment, and qualification expectations for Field Engineering employees and delivery partners.
  • Assess partner technical capability and readiness for defined work types while partner sourcing and commercial ownership remain with the appropriate teams.
  • Analyze recurring defects, delivery results, and material planned versus actual execution gaps and convert lessons learned into stronger standards, artifacts, training, Costing / Estimating guidance, and preventive actions.
  • Review what the work actually required in the field and use that evidence to improve future labor assumptions, productivity inputs, technical role mix, tooling, testing, partner requirements, assumptions, exclusions, and delivery methods.
  • Help develop and launch new services through controlled pilots, technical readiness reviews, and repeatable delivery methods.
  • Rack installation, rack build, land and level, rack and stack, hardware deployment, and integration.
  • Rack level patching, interconnect, cable management, labeling, evidence, cleanliness, and physical quality.
  • Hyperscale, data hall, white space, enterprise data center, and large scale integration programs.
  • Data center migrations, hardware refresh, deployment sequencing, commissioning support, and recovery planning.
  • Technical work packages, rack build instructions, methods of procedure, readiness checklists, quality checkpoints, acceptance evidence, and closeout standards.
What you have
  • Ten or more years of progressive experience in data center infrastructure, rack integration, hyperscale deployment, or…
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