Senior Data DevOps Engineer with Azure

Responsibilities

• Deploy and configure the Data Platform in Databricks based on the approved architecture and solution designs, ensuring environments are production-ready, secure, and scalable
• Work closely with cross-functional teams (Data Engineering, ML, Platform, QA) to design, implement, and evolve CI/CD pipelines and supporting tooling for data workflows and services
• Diagnose and resolve issues in build/deploy pipelines, data workflows, and production workloads; participate in root cause analysis and implement preventive fixes
• Develop, standardize, and maintain configuration management practices (infrastructure configuration, environment parameters, secrets, cluster policies) to ensure consistency across environments
• Produce and maintain clear technical documentation covering deployment guides, operational runbooks, pipeline logic, and platform configuration

Languages

Required

• Strong hands-on experience with Databricks, Azure Data Factory, Azure DevOps, and Microsoft Azure in general — including DataOps practices such as automated data pipeline deployment, environment promotion, and governance

Nice to have

• Experience with MLOps (model deployment, monitoring, lifecycle automation for ML workloads) is considered an advantage
• Strong communication and collaboration skills, with the ability to work effectively across engineering, data, and operations teams
• English at B2 level or higher, able to participate in technical discussions and produce documentation in English

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