Enterprise Architect - States (Locals Only)

Overview

Hybrid
$1+
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

API
Amazon EC2
Amazon Kinesis
Amazon Redshift
Amazon SageMaker
Amazon Web Services
Cloud Security
Continuous Delivery
Artificial Intelligence
Articulate
Cloud Computing
DNS
Continuous Integration
HIPAA
Google Cloud Platform
Generative Artificial Intelligence (AI)
Enterprise Software
Kubernetes
Machine Learning (ML)
Google Cloud
IaaS
Identity Management
Good Clinical Practice
Encryption
Data Integrity
Docker
Electronic Health Record (EHR)
Migration
SOAP
SaaS
Virtual Private Network
PaaS
RESTful
Regulatory Compliance

Job Details

Position: Enterprise Architect Location: Austin TX - 3 days Onsite (Mondays, Tuesdays and Fridays) 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 chosen for this opportunity.
Years Required/Preferred Experience

  • 10+yrs Required experience architecting enterprise application solutions across on-premises and cloud infrastructure
  • 10+yrs Required architecting solutions in one or more of the cloud platforms: Google Cloud Platform, Azure, and AWS.
  • 8+yrs Required developing cloud native application architectures across leading cloud platforms.
  • 8+yrs Required architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS
  • 8+yrs Required experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.
  • 8+yrs Preferred Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.
  • 8+yrs Preferred Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.
  • 8+yrs Preferred Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.
  • 8+yrs Preferred Knowledge of API design, development, and management, including RESTful and SOAP APIs.
  • 8+yrs Preferred Knowledge of microservices, serverless architectures, and cloud-native application development.
  • 8+yrs Preferred Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.
  • 6+yrs 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+yrs Preferred Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.