Databricks Architect (m/f)
Core
Design and deliver end-to-end Databricks lakehouse platforms and analytics solutions for global clients, focusing on scalable ingestion, transformation, and production-grade operations.
Role type
Senior Databricks Solution Architect
Builds
Modern lakehouse platforms, scalable batch and streaming pipelines, and production-grade data solutions
Domain
Cloud Data Engineering / Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
Databricks production experience, Apache Spark, Delta Lake, Python/PySpark, SQL, Cloud data platforms (Azure/AWS/GCP), Cloud storage (ADLS/S3)
Preferred skills
Unity Catalog, CI/CD for Databricks assets, Infrastructure as Code (Terraform), Streaming workloads, Databricks certifications
Technologies
Databricks, Apache Spark, Delta Lake, Unity Catalog, Python, PySpark, SQL, Azure, AWS, GCP, ADLS, S3, Terraform, Azure DevOps, GitHub Actions, Jenkins
Responsibilities
Define and promote lakehouse architecture patterns and engineering standards; Implement secure-by-design patterns and support governance approaches; Support production-grade delivery through CI/CD practices; Improve monitoring, alerting, and reliability practices; Diagnose and resolve issues across Databricks clusters and workflows; Tune Spark workloads and optimize runtime/cost; Coach engineers and document reusable playbooks
Seniority
Senior, hands-on IC with mentorship responsibilities
