Enterprise Architect Position Opens with the Client Onsite in Austin, TX Hybrid

  • Austin, TX
  • Posted 7 hours ago | Updated 7 hours ago

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

GCP
Azure
AWS

Job Details

Hello,

I have below exclusive position with my client. Please let me know your interest so that we can move ahead for further steps.

Job Title: Enterprise Architect

Location: Austin, TX Hybrid

Duration: 12+ months

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.

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

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