Databricks Architect

Job Description

Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.

Databricks Architect – (Databricks, Azure, Lakehouse, ETL/ELT, Data Architecture) – Permanent – Reading (Hybrid)

Charles Simon Associates are currently recruiting for a Databricks Architect on behalf of a global organisation delivering large-scale Azure Databricks data platform transformations.

This is a key role where you will take ownership of Databricks architecture, Azure data platforms, and end-to-end data solutions, with a strong focus on Lakehouse architecture and greenfield Databricks implementations.

All candidates must be British Citizens due to travel requirements.

Location: Reading (Hybrid)

Salary: Up to £90,000 Per Annum (DOE)

Skills/Requirements for the Databricks Architect:

• 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)

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)

About You:

• Strong technical background in Databricks and Azure data platforms
• Able to design and deliver scalable Databricks data architecture solutions xwzovoh
• Confident engaging with both technical and business stakeholders
• Proactive and comfortable taking ownership of Databricks architecture decisions

Additional Information:

• Opportunity to work on enterprise-scale Databricks platforms
• Strong focus on modern Azure data architecture and Lakehouse technologies
• Clear progression and long-term opportunity within the business

Start date is ASAP for the Databricks Architect

If you are an experienced Databricks Architect looking to work on modern Azure Databricks platforms and large-scale data architecture projects, please apply with your latest CV for immediate consideration.

Databricks Architect – (Databricks, Azure, Lakehouse, ETL/ELT, Data Architecture) – Permanent – Reading (Hybrid)