Senior Databricks Lakehouse Architect: Scale Platforms

Unison Group; Norwich; On-site; GBP 120,000 - 160,000; 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. The role requires deep expertise in Databricks architecture, Apache Spark, Delta Lake, and data engineering across cloud environments.

Key responsibilities include leading end-to-end Databricks implementations, defining security and governance models, and guiding data engineers, data scientists, and analysts.

Qualifications

• Experience designing enterprise Databricks solutions.
• Strong knowledge of Spark, Delta Lake, and Lakehouse architecture.
• Experience with cloud Databricks on Azure, AWS or GCP.

Responsibilities

• Design and architect Databricks Lakehouse solutions for large-scale data platforms.
• Lead end-to-end Databricks implementation including architecture, development, deployment and optimization.
• Define workspace architecture, cluster strategies, security models and operational standards.
• Design and develop scalable data pipelines using Databricks, Spark, PySpark, SQL and Delta Lake.
• Implement data ingestion frameworks for batch and real-time data processing.
• Lead migration projects from legacy data platforms to Databricks Lakehouse.

Skills

Databricks Platform

Apache Spark

Delta Lake

PySpark

SQL

Data Lakehouse

ETL/ELT

Cloud Platforms

Azure Databricks

AWS Databricks

GCP Databricks

Databricks Workflows

Notebooks

Repos

Cluster management

Unity Catalog

Security models

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. The role requires deep expertise in Databricks architecture, Apache Spark, Delta Lake, and data engineering across cloud environments.

Key responsibilities include leading end-to-end Databricks implementations, defining security and governance models, and guiding data engineers, data scientists, and analysts.