Lead Engineer, EDT Data & Analytics Cloud Engineering
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Job Description
Structured overview of role & requirementsAbout This Role
Own design, build, and operation of Azure DevOps CI/CD pipelines for enterprise data & analytics platform.
Manage Infrastructure as Code using Terraform for provisioning Azure and Databricks components with reliability and security focus.
Lead platform operations including monitoring, incident response, performance tuning, and deploying data engineering workloads at scale.
Minimum Requirements
Bachelor’s or master’s degree in computer science, Engineering, Information Systems, Business, or related technical discipline.
5-7 years experience designing, engineering, and supporting cloud-based data and analytics platforms.
Strong hands-on expertise with Azure data services: Azure Databricks, Synapse Analytics, ADLS Gen2, Azure SQL, Azure Data Factory, Key Vault, Unity Catalog.
Proficiency with Infrastructure as Code (Terraform) and Azure DevOps CI/CD pipelines for multi-environment deployments.
Ideal Candidate Profile
Experienced in securing, governing, and automating scalable Azure data platforms following best practices for compliance and least-privilege access.
Technically capable to troubleshoot platform issues, drive operational improvements, engage with multiple stakeholders, and document technical solutions.
Comfortable operating in a cross-functional environment involving engineering, operations, security, and business teams, emphasizing automation and platform reliability.