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

1. 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

1. 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

1. Technology & Tools

• Evaluate tools for data storage, analytics, integration, orchestration, visualisation, cloud infrastructure

• Provide guidance on cloud-native services, containerisation, orchestration, platform modernisation

1. 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

1. Security, Risk & Compliance

• Ensure compliance with government security policies and regulations

• Implement data security architecture and risk mitigation strategies

1. 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)