Cloud Data Platform Solution Architect

NCS Group; Singapore; On-site; SGD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Strong professional development support

Job summary

NCS Group in Singapore is seeking a Cloud Data Platform Solution Architect to lead the design and implementation of a secure cloud data platform on AWS. You will address government, security, and user requirements while collaborating closely with various teams.

The ideal candidate has a minimum of 12 years of experience in data architecture and possesses strong knowledge of AWS services. Benefits include competitive compensation and professional development support.

Qualifications

• Minimum 12 years of experience in data architecture or solution architecture roles.
• Proven experience designing and deploying enterprise data platforms.
• Strong understanding of modern data lake and big data architectures.

Responsibilities

• Lead the design and implementation of cloud data platforms on AWS.
• Translate functional requirements into architecture blueprints.
• Ensure platform security aligned with best practices.

Skills

Data architecture

Data engineering

Solution architecture

Stakeholder management

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Tools

Talend Big Data Management

Talend Data Catalog

Denodo

RStudio Workbench

Keycloak

CKAN

Tyk API Gateway

AWS services (S3, Glue, Redshift, SageMaker)

Docker

Kubernetes

Job 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.

Qualifications

• 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.

Benefits

• Competitive compensation.
• Strong professional development support.