Senior Engineer, EDT Data & Analytics Cloud Engineering
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level Azure data platform role at a well-known global employer in metro attracts many qualified applicants.
Strong Azure data-platform specialization reduces transferability across industries compared with general cloud roles.
Explicit 2-5 year requirement plus mandatory Azure, Terraform, and CI/CD skills impose strict screening.
Job Description
Structured overview of role & requirementsAbout This Role
Manage and automate Azure DevOps CI/CD pipelines for development, testing, and production environments to ensure high service availability.
Implement Infrastructure as Code using Terraform to provision and maintain Azure data platform environments consistently and detect configuration drift.
Enhance platform security and reliability by managing access controls, monitoring services, and troubleshooting issues across Azure data services including Databricks, Synapse, ADLS Gen2, Azure SQL, and Key Vault.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Business, or related technical field.
2-5 years of experience in cloud engineering, data warehousing, or modern data & analytics platforms.
Strong hands-on experience with Azure data technologies: Azure Databricks, Synapse Analytics, ADLS Gen2, Azure SQL, Azure Data Factory, Key Vault, Unity Catalog.
Proficiency in Azure DevOps CI/CD pipeline management and Infrastructure as Code (Terraform).
Ideal Candidate Profile
Experienced in secure and scalable Azure data platform engineering with a reliability engineering mindset focused on automation and operational excellence.
Proficient in collaborating across engineering, operations, security, and business teams to optimize data platform performance and security.
Capable of monitoring, incident response, root cause analysis, and continuous improvement of cloud data services and pipelines.