Enterprise Architect 3

The enterprise architect will be responsible for:

Design and maintain enterprise-level architecture that aligns with organizational goals and technical requirements.

Develop scalable, secure, and resilient enterprise infrastructure, ensuring adherence to best practice.

Evaluate current infrastructure and identify components for cloud migration, creating a detailed migration strategy including timelines and resource allocation.

Implement and validate migration processes to ensure data integrity and system functionality.

Ensure compliance of architecture with industry standards and regulatory requirements.

Collaborate with stakeholders to understand business needs and translate them into technical solutions.

Advise on AI/Machine Learning/Deep Learning and generative AI projects, mapping relevant Azure, Google, and AWS services.

Analyze AI services to extract technical and business insights that inform reference architectures, runbooks, and training content

II. CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years Required/Preferred Experience

10 Required experience architecting enterprise application solutions across on-premises and cloud infrastructure

10 Required architecting solutions in one or more of the cloud platforms: Google Cloud Platform, Azure, and AWS.

8 Required developing cloud native application architectures across leading cloud platforms.

8 Required architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS

8 Required experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.

8 Preferred Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.

8 Preferred Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.

8 Preferred Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.

8 Preferred Knowledge of API design, development, and management, including RESTful and SOAP APIs.

8 Preferred Knowledge of microservices, serverless architectures, and cloud-native application development.

8 Preferred Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.

6 Preferred Experience with cloud-based AI/ML services. Examples are Azure Machine Learning, Cognitive Services or AWS SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, Transcribe or Google Cloud Vertex AI, Agent Builder and other AI/ML services.

1 Preferred Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect