Overview
On Site
$$85/hr on C2C or $70/hr on W2
Accepts corp to corp applications
Contract - W2
Contract - 12 month(s)
Skills
Api
Application Development
Customer Service
SOAP
Translate
Project Management
EMR
Encryption
GCP
Business Requirements
Financials
Workflow
Hipaa
Data Integrity
Articulate
Docker
Kubernetes
Terraform
Cloud Security
Enterprise Application
IAAS
PAAS
Artificial Intelligence
Machine Learning
Identity and Access Management
Firewalls
DNS
Deep Learning
SAAS
Migration Strategy
Excellent Verbal and Written Communication Skills
Containerization
AWS Certified
Technical Requirements
Procurement
Translating
Travel Expenses
Microsoft Teams
Enterprise Architect
Technical Services
Subject Matter Expert
Staffing
Proposals
Financial Modeling
Risk Assessments
Remediation
Google Cloud
Information Security
Human Resources
Purchaser
Business Insights
Job Details
Job Title: Enterprise Architect
Location: Austin, TX Hybrid (Onsite: Mon, Tue, Fri; Remote: Wed, Thu)
Interview Format: In-person or Microsoft Teams
Job Description:
- 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. | |||
Actual Years Experience | Years Experience Needed | Required/ Preferred | Skills/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 |
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.