Databricks Data Architect (m/f/d)

Qualifications

• The Databricks Stack: 3–5+ years of deep expertise in Databricks, Delta Lake, and Unity Catalog
• Core Languages: Expert-level Python/PySpark and Advanced SQL.
• Modelling Mastery: Proven experience in designing medallion architectures lake house schemas and familiarity with dimensional data models.
• DataOps: Proficiency with CI/CD pipelines, Git, and Infrastructure as Code (e.g., Terraform or Databricks Asset Bundles).
• Integrations: Hands‑on experience with batch and real‑time streaming.
• Expertise in designing, setting up and administering platforms with any of the hyperscale's, Azure preferred.
• Familiarity with network and security topics (firewalls, VPNs, private links, etc.)
• Technical Roadmap: Ability to translate business requirements into technical specs and long‑term platform roadmaps.
• Collaboration: Proven track record of working as the bridge between Data Engineers, ...