Senior Data DevOps Engineer with Azure
We are looking for a Senior Data DevOps Engineer with Azure to deploy and configure Data Platform solutions in Databricks, build and maintain CI/CD pipelines for data workflows, and ensure the reliability, security, and scalability of production environments across the data platform.
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
Requirements
- 3+ years of experience in a Build Engineer, DevOps Engineer, Platform Engineer, or similar role supporting delivery and operations
- 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
- 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
