Geylang - Cloud Solution Architect

Solution Architect (Applications)

As a member of the Solution Architect Practice Group, you will be responsible for the end-to-end architecture of systems, ensuring that detailed design and development align with the Enterprise Architecture of the Public Sector.

In this role, the Solution Architect (Applications) will define technical design direction and software architecture for the solution, collaborating closely with Project Managers, Digital Business Analysts, software engineers, and vendors.

Success in this role will be demonstrated by your strong technical aptitude and ability to communicate effectively and efficiently across teams.

• Translate business requirements of the Public Sector data analytics platform, including application resiliency needs, into comprehensive application architectural specifications.
• Create, evaluate, and implement plans and design proposals for high-impact IT solutions, leveraging leading-edge technologies and methodologies. Consider long-term effectiveness, practicality, technical limitations, and criticality.
• Manage technical project delivery: perform code reviews, recommend code changes, collaborate with vendor development teams to resolve technical challenges, and analyze performance tuning and scalability improvements—especially for the Public Sector data analytics platform.
• Provide architecture and technical support during production incidents.

Required Experience:

• Proven experience in solutioning and implementing enterprise/multitenant data analytics AI/ML platforms on AWS, preferably within GCC (Government Commercial Cloud) environments.
• Hands-on experience with AWS services such as: AppStream, Workspaces, Macie, EKS, Sage Maker, Bedrock
• Familiarity with commercial analytics products like: Databricks, Informatica, data anonymisation tools
• Strong understanding of how to implement, secure, integrate, and troubleshoot these products with upstream/downstream systems such as: Kinesis, SNS, SQS, API Gateway, Event Bridge, Lambda
• This role is not focused on data science or data transformation logic, but rather on architectural integration and platform engineering.

Bonus Skills:

• Experience in web application development or modernization.
• Background in cloud infrastructure engineering or systems integration, especially beyond web-centric applications.