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Databricks architect

Reading (Berkshire)
Involved Solutions
Architect
Posted: 19 May
Offer description

Databricks Solution Architect (Azure / Lakehouse)Salary: Up to £90,000 + Bonus + BenefitsLocation: Reading - Hybrid (3 days per week onsite)Working Hours: 40 hours per week - Full timeJob Type: PermanentA globally established organisation is seeking an experienced Databricks Solution Architect to lead the design and delivery of modern, scalable cloud data platforms.

This Databricks Solution Architect role will focus on architecting enterprise-grade Lakehouse solutions, designing secure and high-performing data frameworks, and driving data transformation initiatives across a complex Azure environment.

Responsibilities for the Databricks Solution Architect:

Design and implement scalable Lakehouse, warehouse and enterprise data architectures

Build and optimise ETL / ELT pipelines using Azure Databricks

Design data solutions using Azure Data Lake, Azure Data Factory and cloud storage services

Lead greenfield Lakehouse framework implementations

Define conceptual, logical and physical data models

Establish data governance, security and compliance standards

Implement partitioning, clustering and optimisation strategies for performance and scalability

Collaborate with data scientists, analysts and DevOps teams to deliver end-to-end solutions

Contribute hands-on development using PySpark, SQL and Python

Support CI/CD and DevOps practices using Git-based version control

Present architectural designs to governance and review forums

Essential Skills for the Databricks Solution Architect:

Strong experience designing ETL / ELT pipelines using Azure Databricks

Hands-on experience with Azure Data Lake and Azure Data Factory

Strong experience implementing Lakehouse architecture in greenfield environments

Strong knowledge of data modelling and enterprise data architecture

Experience implementing data governance, metadata and security frameworks

Experience working across enterprise-scale cloud data landscapes

Strong understanding of performance optimisation and data management strategies

Experience with PySpark, SQL and Python Spark

Desirable Skills for the Databricks Solution Architect:

Strong stakeholder management and communication skills

Experience working within Agile delivery environments

Experience collaborating with large cross-functional delivery teams

Retail industry experience beneficial

If you are an experienced Databricks Architect looking to shape enterprise-scale cloud data platforms within a modern Azure environment, this role offers strong technical ownership, large-scale delivery exposure and long-term career growth.

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