Lead Engineer, EDT Data & Analytics Cloud Engineering

About the role

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'll do

• DevOps Pipeline Management & CI/CD
• Design, build, test, and operate Azure DevOps CI/CD pipelines that package code, run automated quality checks, deploy infrastructure and data workloads
• Own day-to-day pipeline execution and release readiness by monitoring runs, diagnosing failed builds and deployments, correcting pipeline definitions
• Infrastructure as Code & Environment Provisioning
• Write, review, and maintain Terraform modules for repeatable provisioning of Azure and Databricks platform components

What you need

• 5–7 years in devops & cloud
• Data analysis
• Terraform
• CI/CD
• Azure
• Databricks
• SQL
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Azure Data Factory
• Unity
• Root cause analysis
• Incident response