Senior Platform Engineer

Hybrid in Kazakhstan, Georgia

Platform Engineering

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We are looking for a Senior Platform Engineer to join our team and drive the administration, governance, and automation of our Data Lake and Azure Databricks platforms. Your work will play a key role in building scalable, secure, and efficient solutions that support SAP's cloud operations, enterprise analytics, and machine learning initiatives.

Responsibilities

Administer and manage Azure Data Lake Storage Gen2 and Databricks workspaces
Implement and enforce access management policies leveraging RBAC and Entra ID
Apply Databricks governance concepts, including Unity Catalog, access control, and data lineage
Develop automation scripts and integrate with REST APIs to configure and monitor the platform
Ensure platform operational health by monitoring, incident response, and troubleshooting
Collaborate with global stakeholders to establish platform standards and governance frameworks
Optimize platform performance and resolve technical issues effectively
Document processes, best practices, and guidelines for platform usage
Contribute to the design and enhancement of the data lake infrastructure to support evolving business needs

Requirements

3+ years of professional experience in Platform Engineering or related roles
Strong experience with Microsoft Azure, specifically Azure Data Lake Storage Gen2 and Azure Databricks
Knowledge of Azure access management techniques such as RBAC and Entra ID
Background in Databricks governance, with expertise in Unity Catalog's catalog management, access control, and data lineage
Advanced skills in Python for scripting and automation
Proficiency in working with REST APIs for platform configuration and administration
Understanding of DevOps principles, including incident management, monitoring, and operational health
Experience in enterprise-grade environments with distributed, globally diverse teams
Competency in analyzing and solving complex technical challenges with attention to detail
English language proficiency at an Upper-Intermediate level (B2) or higher

Nice to have

Experience with Agile methodologies, including Scrum or SAFe
Background in Databricks workspace configuration, job orchestration, and cluster policy management
Showcase of contributions to platform standards, governance solutions, or shared automation resources
Familiarity with infrastructure-as-code tools such as Terraform or ARM templates
Understanding of CI/CD workflows and DevOps toolchain implementation