Senior Databricks Lakehouse Architect for Enterprise Data

Unison Group; Veglio; On-site; EUR 90,000 - 120,000; Full time

Job summary

Unison Group is seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms on the Databricks Lakehouse Platform. You will lead architecture, development, deployment, and performance tuning across analytics teams.

The role requires deep expertise in Databricks, Spark, Delta Lake, and cloud platforms (Azure, AWS, GCP), plus governance, security, and data quality. You will collaborate with data engineers, data scientists, and enterprise architects to

Qualifications

• Deep expertise in Databricks architecture and lakehouse patterns.
• Hands-on experience with Spark, Delta Lake and PySpark/Scala.
• Proven ability to deliver enterprise-scale data platforms.

Responsibilities

• Design and implement enterprise Databricks Lakehouse solutions.
• Lead end-to-end Databricks deployments including architecture and optimization.
• Define workspace architecture, cluster strategies, security models, and governance.
• Develop scalable data pipelines using Databricks, Spark, PySpark/SQL, Delta Lake.
• Implement ingestion frameworks for batch and real-time processing.
• Lead migrations from legacy platforms to Databricks Lakehouse.
• Define CI/CD, DevOps practices for Databricks environments.
• Collaborate with data engineers, data scientists, analysts, and architects.

Skills

Databricks architecture

Apache Spark

PySpark/Scala

Delta Lake

SQL

ETL/ELT development

Cloud platforms

Data Lakehouse architecture

Data governance

Security model design

Tools

Databricks Platform

Azure Databricks

AWS Databricks

Google Cloud Databricks

Unity Catalog

Notebooks/Repos

Jobs orchestration

Job description

Unison Group is seeking a Senior Databricks Architect to design, implement, and optimize enterprise-scale data platforms on the Databricks Lakehouse Platform. You will lead architecture, development, deployment, and performance tuning across analytics teams.

The role requires deep expertise in Databricks, Spark, Delta Lake, and cloud platforms (Azure, AWS, GCP), plus governance, security, and data quality. You will collaborate with data engineers, data scientists, and enterprise architects to