Network Data Center Architect

GTN Technical Staffing & Consulting · Dallas, TX, US

PostJobFree Posted Jun 1, 2026 First seen May 17, 2026
Network Data Center Architect Dallas, TX 75243 (5 Days Onsite Role) Full-Time Permanent Role About the Role We are seeking a Network Data Center Architect to design, build, and evolve scalable, resilient, and highly automated data center network architectures that enable private cloud and hybrid cloud platforms. This is a senior individual contributor role responsible for defining technical direction, architecture standards, and hands on engineering solutions across modern, multi vendor data center environments. The ideal candidate is a deep technical expert in large scale data center networking, with strong experience supporting AI driven workloads, GPU based platforms, and cloud like infrastructure, and a proven track record in automation and Infrastructure as Code, including leadership in Arista based environments. Key Responsibilities • Data Center & Network Architecture o Architect and standardize modern data center network designs optimized for scale, resiliency, and performance. o Design Layer 2 and Layer 3 architectures leveraging EVPN/VXLAN for multi tenant, cloud ready environments. o Lead architecture decisions in a multi vendor network ecosystem, with strong emphasis on Arista Networks platforms. o Develop reference architectures, design patterns, and technical standards aligned with Arista Validated Designs (AVD) and enterprise best practices. • Arista Platforms & Multi Vendor Networking o Serve as a technical authority for Arista EOS based data center fabrics, while integrating with other vendors as required. o Design and operate network fabrics using Arista CloudVision (CVP) for centralized management, telemetry, and lifecycle operations. o Leverage AVD to drive consistent, repeatable, and automated fabric deployments. o Evaluate and integrate Arista solutions within a broader multi vendor strategy to avoid lock in while maximizing operational efficiency. • AI, GPU & High Performance Workload Enablement o Design network fabrics capable of supporting AI/ML training and inference workloads, including large scale GPU clusters. o Optimize east west traffic, bandwidth, and latency for GPU fabrics and distributed compute platforms. o Support architectures requiring high throughput, deterministic performance, and scalable growth. o Collaborate with compute and platform teams to align network design with AI and GPU workload requirements. • Private Cloud & Hybrid Enablement o Enable network architectures that support private cloud platforms and cloud like self service consumption. o Integrate networking into virtualization, container, and platform environments. o Support secure and scalable hybrid connectivity between private data centers and public cloud environments. o Ensure designs align with segmentation, Zero Trust networking, and security best practices. • Automation & Infrastructure as Code o Drive automation first networking, minimizing manual configuration and operational risk. o Design and implement Infrastructure as Code (IaC) solutions using Python, Terraform, Ansible, AVD, or similar frameworks. o Build reusable automation modules, pipelines, and workflows for network provisioning and lifecycle management. o Promote declarative, version controlled network operations across teams. • Observability & AI Driven Operations o Define and implement advanced network observability strategies, including streaming telemetry, flow data, logs, and metrics. o Utilize Arista CloudVision telemetry and AI/ML driven analytics platforms to detect anomalies, predict failures, and optimize performance. o Integrate network observability into broader SRE and platform monitoring ecosystems. o Use data driven insights to improve reliability, capacity planning, and incident response. • Engineering Excellence & Collaboration o Act as a technical authority and architectural advisor for data center networking initiatives. o Review designs, influence standards, and mentor engineers (without direct people management). o Partner closely with cloud, SRE, security, and application teams. o Participate in complex incident analysis and long term architectural remediation. Required Qualifications • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. • 8+ years of experience in data center networking or infrastructure engineering. • Deep expertise in EVPN/VXLAN based architectures and large scale routed fabrics. • Strong hands on experience with Arista EOS, CloudVision (CVP, CVaaS), and AVD. • Experience designing networks for private cloud, AI, GPU, or high performance computing environments. • Proven experience with automation and Infrastructure as Code (Python, Terraform, Ansible, AVD, or equivalent). • Strong understanding of BGP, routing at scale, network segmentation, and resiliency patterns. Preferred Qualifications • Experience designing or operating GPU fabrics or AI platforms at scale. • Familiarity with lossless networking, RDMA, or high bandwidth fabrics. • Experience supporting Kubernetes, OpenShift, or cloud native platforms. • Hands on experience with network telemetry and AI driven observability tools. • Experience integrating Arista platforms within multi vendor data center environments. • Strong documentation and architecture review skills.