Senior Platform Engineer

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