Employment Type: 1 year contract (Renewable)
Working Days/Hours: Monday to Friday (8:30am – 6:00pm)
Location: Ang Mo Kio
Eligibility: Singaporean ONLY (Cat 1 clearance needed)
Job Summary
Design and lead enterprise-scale data analytics, infrastructure, and cloud solutions. Bridge business, data, application, infrastructure, and cloud teams to deliver secure, scalable, and high-performance architectures aligned with enterprise and government standards.
Responsibilities
- Design end-to-end data analytics architectures including data warehouses, data lakes, lakehouses, data pipelines, and analytics/reporting platforms to meet business needs.
- Translate business and technical requirements into scalable, secure, and cost-effective solution architectures.
- Lead data integration efforts including ETL/ELT processes, data modelling, governance, metadata management, data quality assurance, and data lineage tracking.
- Architect solutions across public, private, hybrid cloud, and on-premises environments covering compute, storage, networking, security, and platform services.
- Provide enterprise architecture leadership specifically for Government Commercial Cloud (GCC) and MINDEF Commercial Cloud (MCC) environments.
- Establish and enforce architectural standards for data platforms, cloud services, infrastructure, security, and technology roadmaps.
- Guide adoption and implementation of cloud-native services, containerization (Docker, Kubernetes), APIs, CI/CD pipelines, and Infrastructure-as-Code (IaC) tools.
- Drive platform performance, scalability, reliability, and cost optimization across data and infrastructure layers.
- Ensure compliance with government security, privacy, governance, and regulatory requirements, including secure data access, encryption, key/secrets management, and auditability.
- Lead architectural reviews, technical assurance, and governance activities while mentoring engineers and communicating solutions to senior stakeholders.
Required competencies and certifications
- Proven experience delivering large-scale enterprise data analytics and cloud solutions.
- Minimum 6 years of experience in data architecture, enterprise architecture, data engineering, or related roles.
Preferred competencies and qualifications
- Minimum Bachelor degree in Computer Science, Data Science, Engineering, or related field.
- Strong programming and scripting skills in SQL and Python.
- Hands-on experience with AWS, Azure, or GCP cloud platforms, particularly in GCC and MCC environments.
- Knowledge of data security architecture, API integration, event-driven/streaming architectures, and platform observability.
- Experience with Docker, Kubernetes, cloud-native data services, CI/CD, and Infrastructure-as-Code tools such as Terraform or CloudFormation.
- Familiarity with machine learning, advanced analytics pipelines, and MLOps is an advantage.
- Expertise in data warehousing, data lakes/lakehouses, dimensional modelling, Data Vault, and domain-oriented modelling.
- Strong understanding of enterprise infrastructure architecture including compute, storage, networking, and security.