Enterprise Architect - R01571847

Brillio; United States; On-site; USD 180,000 - 250,000; Full time

Job summary

Brillio is seeking an experienced Enterprise Architect to define and drive the organization’s cloud and enterprise architecture strategies. You will craft target-state architectures, reference architectures, and modernization frameworks to enable large-scale transformation.

You will collaborate with CXOs and senior stakeholders to align technology with business goals, implement cloud governance, security, and FinOps, and lead platform engineering across multi-cloud environments (Azure, AWS, GCP).

Qualifications

• Experience leading enterprise architecture, cloud strategy, and technology consulting across Azure, AWS and GCP.
• Ability to define roadmaps, target-state architectures, and modernization frameworks.
• Strong involvement with CXOs on technology transformation initiatives.

Responsibilities

• Define and drive enterprise architecture roadmaps, cloud strategies, and target-state architectures.
• Design and govern scalable cloud and hybrid infrastructure across Azure, AWS, GCP.
• Develop reference architectures, landing zones, modernization frameworks, and blueprints.
• Advise CXOs on technology transformation, responsible AI adoption, and modernization.
• Establish governance, best practices, and reusable accelerators in Cloud/AI/Infrastructure COE.
• Lead cloud migration, modernization, and platform engineering with IaC, DevOps, containers.
• Implement cloud governance, security, compliance, and FinOps for cost optimization.
• Design resiliency patterns for AI workloads with reliability and performance metrics.

Skills

Business Analyst

Project Management

Enterprise Architecture

TOGAF

Education

Bachelor's degree in Computer Science or related

Tools

Terraform

Azure Resource Manager

Kubernetes

Docker

Job description

Enterprise Architect

Primary Skills

• Business Analyst, Project Management

Specialization

• Project Management: Enterprise Architect, Security

Job Requirements

• Experience Range: 18 to 21 years of experience, including extensive leadership in enterprise architecture, cloud infrastructure, and technology consulting across Azure, AWS, and GCP environments Key Responsibilities: 1. Define and drive enterprise architecture roadmaps, cloud strategies, and target-state architectures to achieve measurable business outcomes 2. Design and govern scalable cloud and hybrid infrastructure solutions, ensuring robust architecture and operational excellence across Azure, AWS, and GCP 3. Develop and maintain reference architectures, landing zones, modernization frameworks, and solution blueprints that accelerate enterprise transformation 4. Advise CXOs and senior stakeholders on technology transformation initiatives, responsible AI adoption, and modernization strategies 5. Establish standards, best practices, governance frameworks, and reusable solution accelerators within the Cloud, AI & Infrastructure Center of Excellence 6. Lead cloud migration, modernization, and platform engineering programs, driving adoption of cloud-native architectures, automation, DevOps, containers, and infrastructure-as-code practices 7. Implement cloud governance, security, compliance, and FinOps strategies to ensure solutions are secure, scalable, and cost optimized 8. Design and establish resiliency patterns for mission-critical AI workloads, including business continuity, operational readiness, and controls for model and provider failure, with clear metrics for reliability and performance Required Skills: 1. Enterprise architecture methodologies and frameworks (e.g., TOGAF, Zachman) 2. Expert-level experience with Azure, AWS, and GCP cloud platforms 3. Cloud migration, modernization, and platform engineering expertise 4. Hands-on experience with infrastructure-as-code tools such as Terraform and Azure Resource Manager 5. Cloud-native architectures, containerization (e.g., Kubernetes, Docker), and automation frameworks 6. Cloud governance, security, compliance, and FinOps strategies 7. Designing AI-enabled infrastructure solutions and operational resilience patterns 8. Developing solution blueprints, reference architectures, and modernization frameworks 9. Establishing observability, operational readiness, and controls for AI workloads Preferred Skills: 1. Multi-cloud integration and provider-independent architecture patterns 2. Advanced AI operational controls including model drift, auditability, and human-in-the-loop safeguards 3. Business continuity and disaster recovery frameworks for AI workloads 4. Developing reusable IP assets and solution accelerators 5. Cloud platform engineering for large-scale enterprise transformations Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline 2. AWS Certified Solutions Architect, Azure Solutions Architect, or Google Professional Cloud Architect certification 3. TOGAF or equivalent enterprise architecture framework certification