Senior ITS Infrastructure Architect

SNHU Careers

Senior ITS Infrastructure Architect providing enterprise-level architecture leadership for cloud and infrastructure at SNHU. Driving technology strategy aligned with business needs and operational standards.

Posted 7/23/2026full-timeRemote • Alabama, Arizona, Florida, Hawaii, Idaho, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Mississippi, Missouri, Montana, New Hampshire, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, Wyoming • 🇺🇸 United StatesSenior💰 $125,298 - $200,516 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing enterprise architecture roadmaps and standards for multi-cloud infrastructure, with a strong focus on AI-enabling platforms and security compliance. Proven ability to translate complex requirements into actionable architecture designs and implement governance practices aligned with ITIL standards.

Highest-signal resume keywords

Enterprise ArchitectureMulti Cloud InfrastructureAI Infrastructure FoundationsITIL PracticesFinOps Management

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Hard Skills

Systems ArchitectureData PlatformsCloud SecurityPipeline OrchestrationSecure Data MovementMonitoringLifecycle ManagementCloud-Native ArchitectureMicroservicesData Ingestion

Soft Skills

MentorshipCollaborationCommunication

Tools & Technologies

Multi Cloud OpenAI ServiceDatabricksSynapseCloud Data LakesVector Databases

Certifications & Qualifications

Associates Degree or Higher

Industry Keywords

Higher EducationRegulated Enterprise EnvironmentsHIPAASOXPCIFERPA

Tech Stack

Tools & technologies

CloudITSMMicroservices

About the role

Key responsibilities & impact

Develop and maintain enterprise architecture roadmaps, standards, reference architectures, and design patterns for multi cloud, infrastructure, data, and AI-enabling platforms.
Design secure, scalable, resilient, and cost-optimized multi cloud and hybrid-cloud infrastructure to support enterprise applications, advanced analytics, artificial intelligence, machine learning, and large language model workloads.
Architect secure landing zones, compute foundations, and integration approaches that ensure reliable AI and data platform capabilities.
Translate business, technical, security, compliance, and operational requirements into practical architecture decisions, solution designs, and implementation guidance.
Work with peer architects to help establish architectural governance, design review, lifecycle management, and service management practices that align with enterprise architecture and ITIL-based operating models.
Working with Information Security architects, help to define cloud security, identity and access management, data isolation, monitoring, compliance, and multi-tenant guardrails for enterprise infrastructure and AI-enabled environments.
Evaluate latest technologies, cloud services, AI platform capabilities, vendor solutions, and infrastructure standards to support business outcomes and reduce operational risk.
Partner with project teams, engineers, architects, security teams, data teams, vendors, and partners to guide solution delivery and ensure successful transition to operation.
Work with Cloud Engineers to mature existing cloud financial management and FinOps practices to forecast, monitor, and optimize infrastructure, storage, compute, data movement, and AI workload costs.
Create clear architecture documentation, decision records, recommendations, and presentations for technical, operational, and leadership audiences.
Provide mentorship for peers and engineers as prescribed by leadership.

Requirements

What you’ll need

15+ years of related experience, including experience with enterprise-scale multi cloud infrastructure, systems architecture, data platforms, security, governance, and service management.
Associates Degree (or higher).
Experience with software/system development lifecycle, and operational support models.
Direct experience with AI infrastructure foundations, including cloud AI services, pipeline orchestration, scalable compute, secure data movement, monitoring, and lifecycle management.
Direct experience managing complex network, cloud-native, microservices, identity, data ingestion, security, and multi-tenant architecture considerations.
Direct experience with enterprise architecture, cloud infrastructure, data platforms, security principles, IT standards, ITSM/ITIL practices, and operational governance.
Experience translating complex business, technical, security, and compliance requirements into clear architecture roadmaps, solution designs, and implementation guidance.
Experience with implementing enterprise AI infrastructure patterns, including secure landing zones, data pipelines, model execution environments, cloud-native AI services, monitoring, and lifecycle management.
Experience with evaluating new technologies, assess architecture alternatives, estimate financial and operational impacts, and balance short-term delivery needs with long-term enterprise outcomes.
Experience with maturing FinOps practices for forecasting, monitoring, and optimizing cloud compute, storage, data movement, GPU-enabled services, and AI workload costs.
Experience in higher education or regulated enterprise environments. (e.g., HIPPA, SOX, PCI, FERPA)
Experience working with Agile, DevOps, infrastructure as code, and cloud operating models.
Experience with Multi Cloud OpenAI Service, Multi Cloud AI services, Databricks, Synapse, cloud data lakes, vector databases, or comparable AI and data platform services.

Benefits

Comp & perks

High-quality, low-deductible medical insurance
Low to no-cost dental and vision plans
5 weeks of paid time off (plus almost a dozen paid holidays)
Employer-funded retirement
Free tuition program
Parental leave
Mental health and wellbeing resources