Data Analytics Solution Architect

Job description

Company Description

NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more.

We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people.

Our diverse workforce of 13,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

Job Description

What is the opportunity?

NCS is seeking an experienced Cloud Data Platform Solution Architect to lead the design, setup, and implementation of a modern, secure, and scalable cloud data platform.

This platform will be built on AWS and will integrate Talend Big Data Management, Talend Data Catalog, RStudio Workbench, Posit Package Manager, Denodo, Keycloak, CKAN, Tyk, and AWS API Gateway.

The ideal candidate will have proven experience in building data platforms from the ground up, with strong expertise in data integration, metadata management, data virtualization, access control, API management, and secure cloud deployment.

The successful candidate will work closely with the cloud infrastructure stakeholders, scrum master, project managers, technical teams to establish an enterprise data platform to sustain analytics and AI initiatives.

The role requires the ability to translate user stories, technical and security requirements into platform infrastructure plans, and oversee the establishment of the government cloud platform to power self-service analytics or AI projects.

To support this, you may also need to have a good understanding of Government Commercial Cloud (GCC) and GCC+.

What will you do?

• Design and lead the end-to-end setup of a cloud-based data platform architecture on AWS, integrating multiple tools and services.
  
  
• Deploy and configure
• Talend Big Data Management for scalable data ingestion, transformation, and orchestration.
  
  
• Talend Data Catalog for enterprise data governance and metadata management
• Denodo for data virtualization
• RStudio Workbench and Posit Package Manager to support secure, collaborative data science workflows.
  
  
• Tyk API Gateway and AWS API Gateway for a robust data API layer to ensure secure and scalable data access.
  
  
• CKAN for data publishing and discovery
• Keycloak for identity and access management, providing SSO, RBAC, and secure authentication across platform components
• AWS services including S3 Redshift and Sagemaker to support the storage, transformation, and querying of data
• Define and document platform architecture, integration patterns, and operational procedures.
  
  
• Ensure security, compliance, and scalability across all components of the platform.
  
  
• Collaborate with infrastructure, DevOps (ie SHIPS/HAT), data engineering, and business teams to align platform capabilities with organizational needs

Qualifications

What do you need to succeed?

• Possess good communications skills to understand our customers' core business objectives and build end-to-end data centric solutions to address them
• Good critical thinking and problem-solving abilities

Must-have:

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  
  
• 12+ years(min) of experience in data architecture, data engineering, or solution architecture roles.
  
  
• Proven experience designing and deploying solutions with
• Talend Big Data Management (ETL pipelines, orchestration)
• Talend Data Catalog (metadata, governance, lineage)
• RStudio Workbench & Posit Package Manager (collaborative analytics environment setup)
• Denodo (data virtualization, semantic modeling)
• Keycloak (SSO, OAuth2, RBAC, identity federation)
• CKAN (open data portals, dataset publishing)
• Tyk and AWS API Gateway (API design, security, throttling, policies)
• AWS services – especially S3, Glue, Redshift
• Containerization (Docker, Kubernetes)
• Strong understanding of big data ecosystem and modern data lake/data warehouse architectures.
  
  
• Excellent communication and stakeholder management skills

Nice to have:

• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  
  
• Experience with CI/CD pipelines and Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.
  
  
• Experience with deploying solutions in GCC and GCC+.
  
  

Additional Information

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives.

We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at and visit our LinkedIn career site.

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