Data Analytics Solution Architect (1 year contract)

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.

Skills

Security Architecture, Data Modelling, Kubernetes, GCC, AWS, ETL, Data Integration, Infrastructure as Code (IaC), Data Governance, Data Engineering, Data Lineage, SQL, Data Lake, Solution Architecture, Enterprise Architecture, Python, Data Architecture, Docker, Data Infrastructure, Data Warehousing