Overview
Skills
Job Details
Job Title: Enterprise Architect
Location: Austin, TX
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: | ||
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 |