Data Platform Engineer (m/w/d)
Core
Design, build, and evolve scalable, secure, and sustainable cloud platforms for Data & AI, serving Analytics, Data Engineering, and AI workloads.
Role type
Senior Platform Engineer (Data & AI)
Builds
Scalable cloud infrastructure and Databricks environments on Azure or AWS
Domain
Cloud Infrastructure, Data & AI, Platform Engineering
Deliverable
production ML models
Required skills
Cloud platform architecture (Azure/AWS), Infrastructure as Code (Terraform/OpenTofu), Databricks (Workspaces, Compute, Networking, Identity, Security, Governance), CI/CD, Python, Git, Cloud Networking, IAM, Security, Governance
Preferred skills
Databricks Unity Catalog, Azure Private Link/VNet Integration, Azure DevOps/GitHub Actions, Microsoft Fabric/Azure Data Factory, Landing Zones, Customer-facing architecture workshops
Technologies
Azure, AWS, Terraform, OpenTofu, Databricks, Python, Git, Azure DevOps, GitHub Actions
Responsibilities
Design and implement platform strategies and target architectures; automate cloud infrastructure provisioning; configure and evolve Databricks platforms; establish best practices for performance, security, and governance; develop reusable platform blueprints; evaluate and integrate new technologies.
Seniority
Senior, hands-on IC
