Senior Databricks Lakehouse Architect for Enterprise Data

Unison Group; Veglio; On-site; EUR 120,000 - 170,000; Full time

Job summary

Unison Group is seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform. You will lead end-to-end Databricks implementations and shape architecture, security, and governance.

You will collaborate with data engineers, data scientists, and enterprise architects to define best practices for CI/CD, workflows, and cost optimization while delivering scalable, secure data solutions across cloud platforms.

Qualifications

• Experience in data engineering and enterprise data platforms.
• Hands-on Databricks platform experience.
• Expert knowledge of Spark, Delta Lake, and SQL.
• Proven ability to design scalable Lakehouse architectures.

Responsibilities

• Design and architect Databricks Lakehouse solutions for large-scale platforms.
• Lead end-to-end Databricks implementations.
• Define workspace architecture, cluster strategies, security models, and governance.
• Develop scalable data pipelines using PySpark, SQL, and Delta Lake.
• Implement data ingestion frameworks for batch and real-time processing.
• Guide migration from legacy platforms to Databricks Lakehouse.
• Champion CI/CD, DevOps, and environment management for Databricks.

Skills

Data engineering

Big data

Solution architecture

Databricks Platform

Apache Spark

PySpark/Scala

Delta Lake

SQL

Lakehouse architecture

ETL/ELT development

Tools

Databricks Workflows

Jobs orchestration

Notebooks

Repos

Cluster management

Unity Catalog

Job description

Unison Group is seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform. You will lead end-to-end Databricks implementations and shape architecture, security, and governance.

You will collaborate with data engineers, data scientists, and enterprise architects to define best practices for CI/CD, workflows, and cost optimization while delivering scalable, secure data solutions across cloud platforms.