Cloud Data & AI Platform Engineer (Azure)

Argyll Scott; Singapore; On-site; SGD 140,000 - 190,000; Full time

Job summary

Argyll Scott in Singapore is seeking a hands-on Cloud Data & AI Platform Engineer to build and operate enterprise cloud data platforms. You will develop data pipelines across Azure Data Services, Databricks, and Synapse, enabling scalable, self-service access for business units.

The role emphasizes IaC, CI/CD, automation, governance, and cost optimization, with collaboration across architects, vendors, and MSPs to deliver robust, compliant cloud platforms and reusable engineering patterns.

Qualifications

• 5-8 years of experience in Cloud Engineering, Data Engineering, Platform Engineering, or DevOps.
• Strong hands-on experience in cloud data engineering and implementing data pipelines on cloud platforms.
• Azure experience preferred; candidates with Databricks, Synapse, or AWS experience will also be considered.
• Experience with cloud automation, CI/CD, Infrastructure as Code, governance, or FinOps is advantageous.

Responsibilities

• Build and implement cloud-based data pipelines and platform capabilities across Azure Data Services, Databricks, and Synapse.
• Support business divisions with platform onboarding, project setup, connectivity, and deployment pipelines.
• Implement Infrastructure as Code (IaC), CI/CD pipelines, automation, and reusable deployment templates.
• Support cloud governance, security controls, compliance automation, and FinOps initiatives to optimise cloud costs and resource utilisation.
• Work closely with platform architects, vendors, and managed service providers to implement platform designs and ensure smooth operational handover.
• Develop reusable engineering patterns and automation to improve platform reliability, scalability, and self‑service capabilities.

Skills

Cloud Engineering

Data Engineering

Platform Engineering

DevOps

MLOps/LLMOps

CI/CD

IaC

Troubleshooting

Tools

Azure Data Services

Databricks

Azure Synapse

AWS

Job description

Role Overview

We are looking for a hands‑on Cloud Data & AI Platform Engineer to support the development and implementation of enterprise cloud data platforms. The role focuses on building data pipelines, onboarding business use cases, and implementing cloud platform automation, governance, and cost optimization capabilities.

Key Responsibilities

• Build and implement cloud-based data pipelines and platform capabilities across Azure Data Services, Databricks, and Synapse.
• Support business divisions with platform onboarding, project setup, connectivity, and deployment pipelines.
• Implement Infrastructure as Code (IaC), CI/CD pipelines, automation, and reusable deployment templates.
• Support cloud governance, security controls, compliance automation, and FinOps initiatives to optimise cloud costs and resource utilisation.
• Work closely with platform architects, vendors, and managed service providers to implement platform designs and ensure smooth operational handover.
• Develop reusable engineering patterns and automation to improve platform reliability, scalability, and self‑service capabilities.

Requirements

• 5-8 years of experience in Cloud Engineering, Data Engineering, Platform Engineering, or DevOps.
• Strong hands‑on experience in cloud data engineering and implementing data pipelines on cloud platforms.
• Azure experience preferred; candidates with Databricks, Synapse, or AWS experience will also be considered.
• Experience with cloud automation, CI/CD, Infrastructure as Code, governance, or FinOps is advantageous.
• MLOps/LLMOps experience is a plus but not mandatory.
• Strong technical execution, troubleshooting, and collaboration skills.