Enterprise Architect 3 (HYBRID)
Enterprise Architect 3 (HYBRID)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Title: Enterprise Architect 3 (Hybrid)
Location: Austin TX
Duration: 12 Months
Job Description:
Responsible for translating the clients business requirements into specific systems applications or process designs with interlocked financial modeling for very large complex technical solutions. Analyzes customer service requirements and designs service solutions to meet those objectives. Primary experts construct specific solutions scope document risk profile and corresponding financials. Maintains and utilizes detailed industry and internal services knowledge in the construction of industry-leading services solutions including expert working level knowledge of the processes technologies and people components involved in the services arena. Uses expertise to construct specific and detailed solutions that encompass process technology and staffing plans for customer sales opportunities. Constructs risk assessments and corresponding remediation plans relative to complex services proposals. Participate in the construction of detailed financial models that align with complex services proposals. Composes Statement of Work or other documents using departmental automation tools as available to craft detailed and accurate deliverables that specify processes technology staffing and project management involved in proposed services solutions. As needed provide a trusted expert advisor role as a Subject Matter Expert for technical services to both internal and external customers ranging from formal advice to internal and external customer presentations. Follow all organizational Standard Operating Procedures relative to cost modeling approvals and reviews and all other associated workflow and deliverables.
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.
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: GCP 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
Employment Type
Full-time
