Role profile: Senior Databricks Platform Engineer (best fit), alternatively Azure Platform Engineer, Cloud Infrastructure Engineer with Terraform experience, or DevOps Engineer with a focus on Data Platforms.

Responsibilities breakdown: approximately 35 % Cloud Infrastructure Engineering, 25 % Databricks Platform Engineering, 20 % DevOps / GitLab / Automation, 10 % Security & Governance, 10 % Stakeholder Management & Enablement.

Must-have requirements: Azure infrastructure; Networking (Private Endpoints, DNS, VNET Integration); Storage Accounts; Managed Identities & Service Principals; Monitoring & Logging; Terraform / OpenTofu; Databricks Workspace Administration; Unity Catalog; Cluster Policies; Jobs & Workflows; RBAC / Permission Management; Databricks Networking; performance and cost optimization; GitLab CI/CD; Infrastructure as Code; YAML Pipelines; Python scripting; automation of platform processes; troubleshooting deployments; IAM / Entra ID; role and permission concepts; Secrets Management; PII / Non-PII Governance; Security-by-Design; audit and compliance requirements. Must-have coverage according to the briefing: 70–80 %.

Required experience: at least 5 years of platform experience with Databricks. Fully remote. Languages: German C1 and English B2.