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Windows Engineering Manager at Plano, TX, - Reston, VA - (HYBRID)

Data Wave Technologies IncPlano, TX🇺🇸United StatesPosted Oct 2, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Plano, TX, United States
Posted
21 hours ago

Job Description

Job Title:- Windows Engineering Manager.

Location:- Plano, TX, - Reston, VA - (HYBRID).

Duration:- Fulltime .

Job description:-

  • 6 years in IT engineering and 5+ years in enterprise desktop or end user computing roles, including leadership responsibilities.
  • Deep, hands on knowledge of Windows in large enterprise environments, including OS deployment, imaging, troubleshooting, and lifecycle management.
  • Endpoint Management Mastery: Expert level experience with Microsoft SCCM/MECM and Microsoft Intune, including software distribution, patching, compliance, and co management models.
  • VDI & Remote Computing: Strong understanding of virtual desktop technologies (e.g., Citrix, VMware Horizon, Azure Virtual Desktop) and their integration with endpoint environments.
  • Automation & Scripting: Proven ability to automate endpoint operations using PowerShell, Python, or similar scripting, including support for zero touch touch provisioning and configuration management.
  • Security & Networking Acumen: Solid understanding of endpoint security best practices (encryption, EDR, identity, hardening) and desktop relevant networking concepts (LAN/Wi Fi, VPN, DNS/DHCP).
  • Leadership & Communication: Demonstrated experience leading enterprise testing strategies, pilot programs, and vendor technical evaluations, including POCs and data driven recommendations for platform and tooling decisions.
  • Large Scale Environment Experience: Leadership experience supporting thousands of endpoints across multiple locations and hybrid work models.
  • Modern Endpoint Initiatives: Direct experience with Windows 365 Cloud PC, Autopilot, Intune first strategies, or major OS migrations (e.g., Windows 10 to 11).
  • Innovation Mindset: A track record of improving end user experience through automation, analytics, or modern support models.
  • Bachelor's degree in Information Technology, Computer Science, or equivalent experience.

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