Cloud Data Platform Solution Architect

Company Description

NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

Job Description

As a Cloud Data Platform Solution Architect, you will lead the design, setup, and implementation of a modern, secure, and scalable cloud data platform that underpins enterprise analytics and AI initiatives. This role focuses on hands-on architecture leadership, deep integration of best-in-class data technologies, and translating complex government, security, and user requirements into a production-ready cloud data platform built on AWS.

What will you do?

Cloud Data Platform Architecture & Design

• Design and lead the end-to-end architecture of a cloud-based data platform on AWS.
• Establish scalable, secure, and resilient platform foundations to support analytics, AI, and self-service data use cases.
• Translate user stories, functional requirements, and security controls into platform infrastructure and architecture blueprints.

Data Integration, Governance & Virtualisation

• Deploy and configure Talend Big Data Management for scalable data ingestion, transformation, and orchestration.
• Implement Talend Data Catalog to enable enterprise metadata management, lineage, and data governance.
• Design and implement Denodo for data virtualisation and semantic modelling across heterogeneous data sources.

Analytics & Data Science Enablement

• Set up RStudio Workbench and Posit Package Manager to support secure, collaborative data science and analytics workflows.
• Enable governed access to curated datasets for analysts, data scientists, and AI teams.

API, Access Control & Data Sharing

• Design a robust data API layer using Tyk API Gateway and AWS API Gateway for secure, scalable data access.
• Implement CKAN to support data publishing, discovery, and open data use cases.
• Deploy Keycloak for identity and access management, enabling SSO, RBAC, OAuth2, and secure authentication across platform components.

AWS Platform & Security

• Architect and deploy AWS services including S3, Glue, Redshift, and SageMaker to support data storage, transformation, analytics, and AI workloads.
• Ensure platform security, compliance, and scalability aligned with government standards and best practices.
• Support deployments within Government Commercial Cloud (GCC) and GCC+ environments.

Delivery Leadership & Collaboration

• Define and document platform architecture, integration patterns, and operational procedures.
• Work closely with cloud infrastructure teams, DevOps (e.g. SHIPS/HAT), scrum masters, project managers, data engineers, and business stakeholders.
• Act as a trusted technical authority to align platform capabilities with organisational and agency needs.

Core Experience & Skills

• Minimum 12 years of experience in data architecture, data engineering, or solution architecture roles.
• Proven experience designing and deploying enterprise data platforms from the ground up.
• Strong understanding of modern data lake, data warehouse, and big data architectures.
• Excellent communication, stakeholder management, and problem-solving skills.

Proven Hands-on Expertise With

• Talend Big Data Management (ETL pipelines, orchestration).
• Talend Data Catalog (metadata management, governance, lineage).
• Denodo (data virtualisation, semantic layer design).
• RStudio Workbench & Posit Package Manager (secure collaborative analytics environments).
• Keycloak (SSO, OAuth2, RBAC, identity federation).
• CKAN (data portals, dataset publishing, discovery).
• Tyk API Gateway & AWS API Gateway (API design, security, throttling, policies).
• AWS services , especially S3, Glue, Redshift, and SageMaker.
• Containerisation technologies such as Docker and Kubernetes.

Education

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.

Nice to have

• Experience with Infrastructure-as-Code tools such as Terraform or AWS CloudFormation .
• Experience implementing CI/CD pipelines for data platforms and cloud infrastructure.
• Prior experience delivering platforms within GCC and GCC+ environments.

Why Join NCS

• Lead high-impact Data & AI advisory programs for major enterprises and public sector clients.
• Shape enterprise strategies and governance frameworks that drive real transformation.
• Work with a talented, multidisciplinary team in a collaborative environment.
• Competitive compensation and strong professional development support.

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 ncs.co and visit our LinkedIn career site.

Scam Alert

We are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing-looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.

Please note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. When in doubt, verify the sender’s identity by contacting us at reachus@ncs.com.sg.