Senior Engineer, EDT Data & Analytics Cloud Engineering

Senior Engineer EDT Data & Analytics Cloud Engineering

The Senior Cloud Platform Engineer supports the operational excellence security and reliability of the enterprise data & analytics platform on Azure. The role combines platform operations DevOps automation and Infrastructure as Code across the core stack - Azure Databricks Synapse ADLS Gen2 Azure SQL Azure Data Factory Key Vault and Unity Catalog - with a reliability-engineering mindset: automate repeatable work apply security best practices by default and help keep the platform highly available for global data engineering and analytics teams.

What you will do:

DevOps Pipeline Management & CI/CD

• Build and maintain Azure DevOps pipelines for CI/CD automating build test and deployment across development testing and production environments.

• Support high service availability through solid workflow management smooth promotion processes and efficient pipeline operations.

Infrastructure as Code & Environment Provisioning

• Implement and maintain platform infrastructure as code using Terraform ensuring consistent repeatable provisioning and configuration across environments.

• Provision and maintain environments workspaces compute storage networking and access using automated IaC processes and help identify configuration drift.

Platform Security & Access Management

• Support platform security alongside development and operations teams implementing RBAC access controls and security configurations across Azure Data Factory Databricks Synapse Azure SQL ADLS Gen2 Key Vault and Unity Catalog.

• Apply Azure data service security best practices including secrets management identity integration and least-privilege access.

Platform Operations & Reliability Engineering

• Contribute to platform monitoring alerting performance tuning and incident response with a focus on root-cause analysis and preventive fixes.

• Monitor integration runtimes and platform services troubleshooting pipeline and runtime issues to help protect SLAs.

Data Engineering Operations

• Partner with Data Platform and Data Product teams to build and operationalize data pipelines orchestration and Databricks workloads.

What you need:

• Bachelors or Masters degree in Computer Science Engineering Information Systems Business or a related technical field with 2-5 years of experience in cloud engineering data warehousing or modern data & analytics platforms.

• Strong hands-on expertise with Azure data technologies including Azure Databricks Synapse Analytics ADLS Gen2 Azure SQL Azure Data Factory Key Vault and Unity Catalog.

• Proven experience implementing Azure platform security governance and data service best practices to deliver secure scalable and reliable cloud solutions.

• Proficiency in Azure DevOps and CI/CD pipeline management with experience automating deployments and releases across multiple environments.

• Working knowledge of Infrastructure as Code (IaC) using Terraform to provision manage and standardize cloud infrastructure.

• Experience monitoring and optimizing cloud data platforms including alerting performance tuning incident management and root cause analysis.

• Strong analytical troubleshooting and problem-solving capabilities with the ability to identify patterns resolve complex technical issues and drive continuous improvement.

• Excellent communication and collaboration skills with a proactive mindset for ownership automation and process optimization while partnering effectively across engineering operations security and business teams.

• Cloud Engineering certifications on Azure/Databricks platform is a plus.