Lead Cloud Platform Engineer role supporting enterprise data and analytics operations on Azure and Databricks. Combines DevOps automation, infrastructure-as-code, and reliability engineering to maintain platform security, availability, and operational excellence for global data teams.

Responsibilities

Design, build, and operate Azure DevOps CI/CD pipelines for code packaging, quality checks, and multi-environment deployments
Write and maintain Terraform modules for repeatable provisioning of Azure and Databricks platform components
Configure and troubleshoot RBAC, service principals, managed identities, secrets, and access controls across data services
Build monitoring, alerts, dashboards, and runbooks; lead incident response and root-cause analysis
Deploy and operationalize data ingestion pipelines, orchestration, and platform services with engineering teams

Requirements

Bachelor's or master's degree in computer science, engineering, or related technical discipline
5–7 years designing and supporting cloud data platforms, data warehouses, and modern data ecosystems
Hands-on expertise with Azure Databricks, Synapse Analytics, ADLS Gen2, Azure SQL, Data Factory, Key Vault, Unity Catalog
Experience implementing platform security controls, governance frameworks, and Azure data best practices
Proficiency in Terraform Infrastructure as Code and Azure DevOps CI/CD pipeline automation
Demonstrated cloud platform monitoring, optimization, troubleshooting, performance tuning, and incident management
Strong analytical, problem-solving, and cross-functional collaboration skills

Lead Engineer, EDT Data & Analytics Cloud Engineering

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