DE-Cloud Platform Engineer-Azure-GDSN02

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Career Family Azure DevOps Engineer_Data Fabric Role Type Full Time The opportunity Your role will be a Technology Lead, or Senior Technology Lead in the Cloud Engineering team. You will be responsible to be a part of the delivery of IT projects for our customers across the globe.

Your Key Responsibilities

• Architect, implement, and manage CI/CD pipelines using Azure DevOps for data and analytics workloads.
• Build and maintain CI/CD pipelines across on-premises and multi-cloud platforms (Azure, AWS, GCP), ensuring consistent and secure delivery practices.
• Integrate DevSecOps practices, including automated testing, code quality, and vulnerability scanning (e.g., SonarQube, Checkmarx, Veracode, Fortify) within CI/CD pipelines.
• Develop automation scripts using Bash, Python, Groovy, PowerShell, and leverage CLI tools (Azure CLI, AWS CLI) for operational tasks.
• Maintain and optimize source control systems (Git, SVN), enforcing branching strategies and code quality standards.
• Innovate in building independent automation solutions.
• Automate data workflows leveraging Azure Data Lake, Databricks, and Microsoft Fabric for scalable, secure, and high-performance data solutions.
• Integrate and orchestrate data pipelines and analytics solutions using Microsoft Fabric (including Lakehouse, Data Engineering, and Real-Time Analytics workloads).
• Automate deployment and management of Databricks clusters, notebooks, and jobs.
• Support migration and modernization of legacy data platforms to Azure and Microsoft Fabric.
• Develop infrastructure as code (IaC) for Azure resources using Terraform, ARM Templates, or Bicep.
• Demonstrate working knowledge of cloud-native services in Azure, including PaaS, SaaS, and IaaS offerings.
• Ensure cloud security best practices are followed, with a strong understanding of identity, access management, and network security in cloud environments.
• Comprehensive understanding of how IT operations are managed.
• Implement data governance, security, and compliance best practices across Azure Data Lake, Databricks, and Fabric environments.
• Monitor, troubleshoot, and optimize data pipelines and platform performance using Azure Monitor, Log Analytics, and Fabric monitoring tools.
• Collaborate with data engineers, analysts, and business stakeholders to deliver end-to-end data solutions.

Skills And Attributes For Success

• Strong hands-on experience with Azure DevOps for CI/CD automation, release management, and environment provisioning.
• Deep expertise in Azure Data Lake, Databricks (including Spark, Delta Lake), and Microsoft Fabric (Lakehouse, Data Engineering, Real-Time Analytics).
• Proficiency in scripting languages: Python, PowerShell, Shell.
• Experience with infrastructure automation tools: Terraform, ARM Templates, Bicep.
• Knowledge of data governance, security, and compliance in cloud environments.
• Familiarity with monitoring and observability tools: Azure Monitor, Log Analytics, Fabric monitoring.
• Ability to design scalable, secure, and cost-effective data architectures.
• Capability to identify, communicate, and mitigate project risks.
• Capability to create sustainable systems and services through automation and continuous improvement.
• Ability to communicate effectively with customers and team members; strong analytical and problem-solving skills; flexibility to lead or support the team in day-to-day tasks.
• Capability to design, build, and implement DevOps solutions for projects of varying complexity.
• Capability to design and implement monitoring and observability with various monitoring tools.
• Capability to implement SRE (Site Reliability Engineering) practices to reduce toil, measure, and optimize systems for agreed reliability.
• Strong understanding of agile methodologies.
• Capability to deliver best practices around provisioning, operations, and management of multi-cloud environments.
• Capability to manage communication and deliverables from offshore teams.
• Capability to assist the team in debugging and troubleshooting scripts (imperative and declarative).
• Capability to…