Data Analytics Solution Architect (1 year contract)

OPUS IT Services Pte Ltd; Hong Kong; On-site; HKD 737,000 - 1,105,000; Full time

Job summary

OPUS IT Services Pte Ltd is seeking an experienced Enterprise Data Architect to lead enterprise-scale data analytics, infrastructure, and cloud solutions. You will bridge business, data, application, infrastructure, and cloud teams to deliver architectures aligned with enterprise and government standards.

The role requires 6+ years in data or enterprise architecture, and hands-on experience with AWS/Azure/GCP, Docker/Kubernetes, and IaC tools.

Qualifications

• Proven experience delivering large-scale enterprise data analytics and cloud solutions.
• Experience in data architecture, enterprise architecture, and data engineering.
• Strong programming/scripting in Python and SQL.
• Hands-on cloud experience (AWS/Azure/GCP) in GCC/MCC contexts.

Responsibilities

• Design end-to-end data analytics architectures including data warehouses, data lakes, lakehouses, data pipelines, and analytics platforms.
• Translate requirements into scalable, secure, cost-effective architectures.
• Lead data integration efforts including ETL/ELT, data modelling, governance, and data lineage.
• Architect solutions across public, private, hybrid cloud and on-prem environments.
• Provide architecture leadership for GCC and MCC environments.
• Establish and enforce architectural standards for data platforms, cloud services, security, and roadmaps.
• Guide adoption of cloud-native services, containerization, APIs, CI/CD, and IaC tools.
• Drive platform performance, scalability, reliability, and cost optimization.
• Ensure compliance with government security, privacy, governance, and regulatory requirements.
• Lead architectural reviews and governance while mentoring engineers.

Skills

Data architecture

Enterprise architecture

Data engineering

Python

SQL

Cloud platforms AWS/Azure/GCP

Docker/Kubernetes

CI/CD

Terraform/CloudFormation

Security & governance

Education

Bachelor's degree in Computer Science / Data Science / Engineering

Tools

Docker

Kubernetes

Terraform

CloudFormation

Job description

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.