Data Architect

The Databricks Architect will be responsible for:

• Designing and delivering Databricks-based data platforms
• Building and optimising Azure Databricks ETL / ELT pipelines
• Leading Lakehouse architecture implementations (greenfield Databricks projects)
• Working across Azure Data Lake, Data Factory and multiple data sources
• Implementing performance optimisation (partitioning, clustering) within Databricks
• Defining data models and Databricks architecture standards
• Establishing data governance and security frameworks
• Aligning data architecture with enterprise cloud strategy
• Supporting development using PySpark, SQL and Python within Databricks
• Working within CI/CD and DevOps environments (Git-based)

• Proven experience as a Databricks Architect/Data Architect
• Strong hands-on experience with Azure Databricks (ETL / ELT pipelines)
• Experience working across Azure Data Lake, Azure Data Factory and cloud platforms
• Understanding of Databricks Lakehouse architecture
• Experience designing enterprise-level data architectures
• Data modelling (conceptual, logical, physical)
• Implementing data governance, security and compliance frameworks
• Ability to work closely with stakeholders and present Databricks architecture designs

Desirable Skills:

• Experience in large enterprise environments
• Agile delivery experience
• Industry experience (e.g. retail), * Strong technical background in Databricks and Azure data platforms
• Able to design and deliver scalable Databricks data architecture solutions
• Confident engaging with both technical and business stakeholders
• Proactive and comfortable taking ownership of Databricks architecture decisions