Databricks Architect

• 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)

Technologies:

• Architect
• Azure
• CI/CD
• Cloud
• Databricks
• DevOps
• ETL
• Git
• Python
• PySpark
• SQL
• Security

• 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
• Experience in large enterprise environments (desirable)
• Agile delivery experience (desirable)
• Industry experience (e.g. retail) (desirable)

We are a global organisation delivering large-scale Azure Databricks data platform transformations, and we are currently seeking a Databricks Architect to join our team in Reading (Hybrid). In this role, you will take ownership of Databricks architecture and Azure data platforms with a focus on Lakehouse architecture and greenfield implementations. Our offer includes a competitive salary of up to £90,000 per annum depending on experience and the opportunity to work on enterprise-scale Databricks platforms. We provide a strong focus on modern Azure data architecture and Lakehouse technologies, along with clear progression and long-term opportunities within the business.