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Senior Data DevOps

Hybrid in Bulgaria: Sofia
Advanced Systems Engineering
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We are looking for a Senior Data DevOps to join EPAM and contribute to a project for a large customer.

As a Senior Platform Engineer, you will be responsible for the administration, governance, and automation of our Data Lake and Azure Databricks environments. You will build solutions that streamline platform operations, enable secure data access, and support analytics and machine learning initiatives across the enterprise.

Responsibilities
  • Administer and manage Azure Databricks and/or AWS Databricks and Data Lake Storage Gen2 workspaces
  • Implement and enforce access management using RBAC and Entra ID
  • Apply Databricks governance concepts, including Unity Catalog, access control, and data lineage
  • Develop automation scripts and REST API integrations for platform configuration and monitoring
  • Monitor platform health, respond to incidents, and ensure operational reliability
  • Collaborate with stakeholders to align platform standards and contribute to governance frameworks
  • Troubleshoot and resolve platform issues, optimizing performance and efficiency
  • Document platform processes and best practices
Requirements
  • Strong experience with Microsoft Azure cloud services (especially Azure Databricks and Azure Data Lake Storage Gen2) and/or AWS cloud services (especially AWS Databricks)
  • Proficient in Azure and/or AWS access management (RBAC, Entra ID)
  • Hands-on knowledge of Databricks governance, particularly Unity Catalog (catalog/schema management, access control, data lineage)
  • Hands-on experience using Terraform to automate the deployment, configuration, and management of Databricks infrastructure
  • Basic Python development skills for automation and scripting
  • Comfortable working with REST APIs for platform administration and configuration
  • Understanding of DevOps principles: monitoring, observability, incident response, and operational health
  • Experience working in enterprise environments, ideally within diverse and globally distributed organizations
  • Strong analytical and problem-solving skills
  • English language proficiency – B2+ level
Nice to have
  • Agile (Scrum, SAFe)
  • Experience with Databricks administration (workspace configuration, job orchestration, cluster policies)
  • Contributions to shared platform standards, governance frameworks, or automation libraries
  • Familiarity with infrastructure-as-code tools (e.g., Terraform, ARM templates)
  • Exposure to CI/CD pipelines and DevOps toolchains