Data Analytics Solution Architect

🔹 Employment Details Location: Ang Mo Kio Working Hours: Mon – Fri, 8:30am – 6:00pm Salary: $7,000 – $9,000 + $50 allowance Contract: 1-year (renewable) Eligibility: Singaporeans only (Cat 1 G50 clearance) Special Requirement: Candidates must have prior experience in high-security government environments Must have previously obtained high-level security clearance Familiar with strict government security, governance, and compliance frameworks 🔹 Role Overview As a Data Analytics Solution Architect , you will design and deliver scalable, secure, and high-performance data analytics solutions to drive business outcomes. You will provide enterprise-level architecture across data, infrastructure, and cloud environments , including Government Commercial Cloud (GCC) and secure government cloud environments , while acting as a bridge between business stakeholders, data teams, and IT/infrastructure teams . 🔹 Key Responsibilities 1. Solution Design & Architecture Design end-to-end data platforms: data pipelines, warehouses, lakes, lakehouses, analytics/reporting systems Translate business requirements into architecture designs & technical specifications Define architectures across cloud-native, hybrid, and on-prem environments Establish best practices for data modelling, ETL/ELT, analytics platforms, reporting frameworks Ensure alignment with enterprise architecture, security policies, and technology roadmaps 2. Data Integration & Management Design ETL/ELT pipelines, data governance, metadata, and data quality frameworks Oversee development of data models, dashboards, analytics solutions Integrate structured, semi-structured, and unstructured data Implement data lineage, traceability, and auditability 3. Enterprise Architecture (Cloud & Infrastructure) Design across public, private, hybrid, and on-prem environments Strong experience in GCC and secure government cloud environments Define target-state and transition architectures across: Compute, storage, networking, security, platform services Ensure integration between data platforms and enterprise infrastructure 4. Technology & Tools Evaluate tools for data storage, analytics, integration, orchestration, visualisation, cloud infrastructure Provide guidance on cloud-native services, containerisation, orchestration, platform modernisation 5. Performance Optimisation Optimise performance, scalability, reliability, and cost efficiency Implement best practices for data processing, storage, and query performance Optimise across application and infrastructure layers 6. Security, Risk & Compliance Ensure compliance with government security policies and regulations Implement data security architecture and risk mitigation strategies 7. Leadership & Stakeholder Management Collaborate with data engineers, data scientists, BAs, infra & ops teams Mentor junior engineers/architects Translate technical solutions into business insights Lead architecture reviews, governance, and technical assurance 🔹 Requirements Education Degree in Computer Science, Data Science, Engineering, or related field Technical Skills Data & Analytics Data warehousing, data lakes, lakehouses ETL / ELT pipelines Data governance, MDM, data quality, BI Data modelling: dimensional, data vault, domain models Cloud & Infrastructure Enterprise infrastructure: network, storage, compute, security Cloud platforms: AWS, Azure, GCP Experience in GCC / secure government cloud environments Engineering & Tools SQL, Python Containerisation: Docker, Kubernetes CI/CD pipelines for data platforms Infrastructure as Code: Terraform, CloudFormation Cloud-native data services Data Security & Governance Encryption (at rest/in transit), key & secrets management Secure data access patterns Data lineage, metadata, catalog tools Additional (Good to Have) Machine Learning / MLOps Streaming & event-driven architecture (message queues, pub/sub) REST APIs & service integration Performance tuning (query, storage, cost optimisation) Observability (logging, monitoring, SLA) 🔹 Experience & Security Minimum 7+ years in data/enterprise architecture Experience delivering large-scale enterprise analytics & cloud solutions Strong familiarity with government security, governance, and compliance frameworks Must have: Experience in high-security government projects High-level security clearance (CAT1/G50 equivalent)