Sr. Enterprise Infrastructure Architect

· Define and lead enterprise-wide cloud and infrastructure strategies, roadmaps, and standards that support business growth and innovation.

· Design and guide the implementation of scalable solutions across public, private, and hybrid cloud environments, integrating seamlessly with on-premises systems.

· Lead cloud and application migration initiatives, ensuring efficiency, security, and alignment with enterprise architecture principles.

· Oversee architecture review processes and validate that all solutions meet established enterprise, security, and compliance standards.

· Assess existing architectures to identify gaps, risks, and opportunities, delivering actionable recommendations for improvements and optimization.

· Take projects from concept through design and implementation, driving medium to large-scale infrastructure and platform transformations.

· Champion cloud data security, governance practices, and cost controls, including managing consumption and rate limits for AI-driven workloads.

· Create and maintain architecture diagrams, patterns, runbooks, and documentation while clearly articulating technical concepts to diverse audiences.

· Partner with leadership, technical teams, and stakeholders to align on priorities, share insights, and advance enterprise-wide initiatives.

· Continuously evaluate emerging technologies, vendor solutions, and industry best practices to evolve the technology landscape.

· Bachelor’s degree in Engineering, Information Technology, or equivalent experience; cloud certifications such as Microsoft Certified: Azure Solutions Architect Expert, AWS Certified Solutions Architect, or Google Professional Cloud Architect are strongly preferred.

· 10+ years of overall technology experience including 3+ years in advanced cloud infrastructure design (legal industry experience is a plus).

· Deep knowledge of multi-cloud environments (Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (Google Cloud Platform)) and hybrid architecture, including migration from on-premises systems.

· Experience with Docker, Kubernetes, Rancher, Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), and Google Kubernetes Engine (GKE).

· Experience designing infrastructure for AI workloads, troubleshooting complex issues, managing model consumption, and working with Microsoft Fabric for large-scale data processing.

· Strong skills in scripting and Infrastructure as Code (IaC) tools including PowerShell, Chef, Ansible, Puppet, and Terraform; familiarity with Continuous Integration/Continuous Deployment (CI/CD) practices.

· Expertise in cloud governance, identity and access management including Active Directory, Microsoft Entra ID, and Conditional Access policies.

· Strong understanding of Local Area Network/Wide Area Network/Software-Defined Wide Area Network (LAN/WAN/SD-WAN), along with Windows and Linux server technologies.