Data Platform Engineer - German speaker

Role Overview

We are looking for a Data Platform Engineer to design, implement, and operate a secure and scalable Azure-based data platform centered around Databricks. Beyond infrastructure and automation, this role includes developing and operationalizing concepts for data security, governance, and platform observability.

The ideal candidate combines technical hands-on experience with a conceptual and proactive mindset, helping to shape the long-term foundation for analytics and AI use cases.

Responsibilities

• Build and manage infrastructure as code for Azure and Databricks environments
• Develop and implement concepts for data access, deletion, security, and platform usage
• Set up observability tooling (e.g., Datadog dashboards and alerts) to monitor cost, access, and platform health
• Ensure platform governance and audit readiness through documented controls
• Collaborate with InfoSec, Compliance, and platform consumers to align technical solutions with organizational standards

Core Skills & Expertise

• Cloud Infrastructure (Terraform): Build and manage scalable and secure Azure environments (ADLS, Key Vault, Networking, Databricks)
• CI/CD Automation: Create and maintain pipelines for infrastructure, notebooks, policies, and access controls (Azure DevOps)
• Databricks Platform Engineering: workspace setup, cluster policies, service principals, Unity Catalog
• Access & Identity Management: Role-based permission concepts across Azure and Databricks (RBAC, SCIM, Unity Catalog ACLs)
• Data Security & Compliance: Develop and implement concepts for:
  • Data classification, encryption, key management
  • Deletion & retention policies
  • Secure test data provisioning (synthetic data, masking, subsetting)

• Monitoring & Observability: Design and implement platform-level monitoring using tools like Datadog, Azure Monitor, and Log Analytics.

Soft Skills

• Strong conceptual thinking with the ability to operationalize abstract requirements

• Proactive and self-organized work style

• Capable of explaining technical topics to InfoSec, compliance, and data teams
• Clear documentation and enablement mindset

Technologies & Tools

• Azure (ADLS, Key Vault, AAD, Event Hub, Private Endpoints)
• Databricks (Unity Catalog, SCIM, Audit Logs, Cluster Policies)
• Terraform, Git, Azure DevOps
• Observability Tools: Datadog, Azure Monitor, Log Analytics
• Security & Compliance: Encryption, RBAC, audit logs, data masking