DevOps / DevSecOps Engineer (Azure Data Platform)

Job Title: DevOps / DevSecOps Engineer (Azure Data Platform)

Location: Singaporens (Singaporeans preferred)

Experience Required

• 6+ years of total IT experience
• 3+ years of relevant experience in Azure Data Platforms and CI/CD implementation

Job Description

We are looking for a hands-on DevOps / DevSecOps Engineer to design, implement, and manage secure CI/CD pipelines and release governance for an Azure-based data platform ecosystem. The role involves working with Azure Databricks, Azure Data Factory (ADF), and Informatica IDMC, ensuring seamless, secure, and compliant deployments across Dev, UAT, and Production environments.

The candidate will be responsible for automating deployments, embedding security controls, and ensuring all releases meet enterprise IT security and audit standards.

Key Responsibilities

• Design and manage CI/CD pipelines using Azure DevOps for multi-environment deployments
• Implement environment-based deployments with parameterization and rollback mechanisms
• Enable CI/CD for Azure Databricks (notebooks, jobs, workflows)
• Manage ADF pipeline deployments and promotion across environments
• Handle Informatica IDMC deployment and migration processes
• Implement DevSecOps practices including RBAC, secure access, and secrets management
• Integrate deployment pipelines with monitoring tools and ServiceNow
• Ensure compliance with IT security policies and audit requirements
• Support release governance and act as DevOps SPOC across teams

Mandatory Skill Set

• Azure DevOps (CI/CD pipelines, release management) – 3+ years
• Azure Databricks – 2–3+ years
• Azure Data Factory (ADF) – 2–3+ years
• Informatica IDMC – 2+ years
• Git & Branching Strategies – 3+ years
• Azure Key Vault (Secrets Management) – 2+ years
• Azure AD / Entra ID (RBAC, SSO) – 2+ years
• Strong DevSecOps knowledge (security, compliance, audit)
• Experience working with multi-environment deployments (Dev/UAT/Prod)

Good to Have Skills

• Unity Catalog
• ServiceNow integration
• Azure Sentinel / security monitoring
• Data platform rerun and reconciliation processes
• Metadata-driven data pipelines