
Cloud Innovator
1 semana atrás
We are seeking a seasoned Solution Architect to lead the design and governance of modern, cloud-native, and AI-enabled solutions. This role plays a critical part in reviewing solution designs, raising architectural risks, and ensuring alignment with enterprise standards.
Key Responsibilities:
- Oversee architectural reviews and provide feedback on solution designs, requirements, and non-functional aspects.
- Collaborate with global teams to ensure architectural alignment, drive reuse, and champion high-quality processes and practices.
- Contribute technical content and vision to the Mainframe and Data Centre exit Strategy for the UKI BI business and support through governance.
- Closely collaborate with colleagues in other market verticals to ensure technical alignment of strategic cloud platforms.
- Contribute architecture guidance and input to the shaping and delivery of initiatives driving the Mainframe and Data Centre exit for the BI business.
- Design scalable, secure, and resilient solutions using AWS services, and interim and hybrid architectures on the mainframe or in the Experian Data Centre.
- Guide teams in applying microservices, server-less, and Domain-Driven Design principles.
- Provide technical leadership in the integration of AI and Large Language Models to assist in code conversion and testing efforts.
- Develop and maintain architectural documentation, including blueprints, patterns, and technical specifications.
- Stay current with emerging technologies and industry best practices.
- Mentor engineering teams and promote architectural excellence across the organisation.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Understanding of cloud-native architectures and how to refine and tune them to drive desired outcomes.
- Proven experience as a Solution Architect with at least 5 years in enterprise solution design.
- Strong knowledge of mainframe technologies such as CICS, COBOL, VSAM, DB2, M204.
- Strong hands-on experience with AWS (e.g., Lambda, Glue, EKS, ECS, API Gateway, S3, DynamoDB, Document DB, RDS).
- Solid understanding of microservices, containers, server-less, and cloud architecture patterns.
- Experience working with LLMs and AI/ML frameworks.
- Strong influencing and communication skills to engage with global stakeholders.
- Knowledge of architectural frameworks (e.g., TOGAF, Zachman) is a plus.
- Experience with Enterprise Messaging Frameworks and message backbones would be advantageous.
- Experience with Enterprise Search Engines would be advantageous.
- Experience with Agile methodologies and CI/CD practices is advantageous.
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