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.