#EG Data Analytics Platform Architect
- Compensation
- Not disclosed
- Location
- Singapore
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 12+ years
- Category
- Data analytics
- Posted
Skills
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
- 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+.
Full description
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
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.