Platform Engineer

Role Description:

• Design, provision, and manage secure, scalable, and high-performance Azure Databricks platforms

  tailored to support enterprise-wide data transformation for insurance data workloads.

• Collaborate with architects, engineers, and security teams to define and implement robust infrastructure standards

  , ensuring reliable connectivity and integration with legacy systems, cloud data sources, and third-party platforms.

• Implement Infrastructure as Code solutions

  (e.g., Terraform) to streamline provisioning and configuration of Azure and Databricks resources, supporting DevOps best practices.

• Automate environment deployment, monitoring, and incident response workflows using

  GitHub Actions to increase consistency, traceability, and efficiency.

• Monitor platform health, resource utilization, and performance

  ; anticipate scaling needs and conduct regular tuning to maintain optimal operation for data pipelines and analytics workloads.

• Enforce security and compliance with enterprise and regulatory standards

  , including RBAC, managed identities, encryption, PDPO, GDPR, and other insurance-specific requirements.

• Oversee integration of Informatica tools to support data governance

  , including cataloguing, data lineage, and compliance checks across the platform.

• Document infrastructure architecture, network topology, security configurations, and operational runbooks to

  support ongoing governance, audit, and handover.

• Troubleshoot infrastructure issues, perform root cause analysis, and drive resolution and continuous improvement for

  platform reliability.

Stay current with new Azure, Databricks, and DevOps featurescontinuously recommending and implementing enhancements to platform capabilities, cost-effectiveness, and effectiveness for Hong Kong Life and General Insurance business priorities.

Requirement:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience designing, deploying, and administering Azure cloud platforms, with a focus on supporting Azure Databricks for insurance data and analytics workloads.
• Deep expertise provisioning, configuring, and managing Azure Databricks clusters and workspaces, including supporting the processing and storage of structured, semi-structured, and unstructured insurance data.
• Skilled in integrating Azure Data Factory and Azure Data Lake Storage Gen2 with Databricks for seamless, automated data flows.
• Proficient in using infrastructure-as-code tools (Terraform) for automated deployment and configuration of Azure and Databricks services.
• Experience deploying and integrating Informatica solutions for comprehensive metadata management, cataloguing, and governance.
• Strong understanding of platform security (RBAC, NSG, managed identities, Key Vault), monitoring, alerting, and cost optimization in regulated insurance environments.
• Hands-on with GitHub Actions for CI/CD pipeline automation related to platform and pipeline deployments.
• Experience with platform incident response, troubleshooting, and performance optimization for mission-critical insurance data workloads.

• Excellent documentation, collaboration, and communication skills to support technical and business users in the insurance domain.