Robert Half
Databricks Data Architect
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Architect – Databricks / Azure Data Platform
Location: London (Hybrid)
Rate: £flexible day rate
Duration: Initial 6 months until end of March 2027
Robert Half are supporting a leading property and real estate organisation on a major Finance Data Lake and Self-Service Reporting transformation programme and are seeking an experienced Databricks Data Architect to join the team. This is a highly technical, hands-on role requiring deep expertise across the Databricks ecosystem. We are specifically looking for candidates with experience designing and implementing reusable Databricks frameworks, metadata-driven architectures and enterprise-scale data platforms.
Essential Experience
- Strong hands-on Databricks Architecture experience
- Azure Data Platform expertise (ADLS, ADF, Synapse, Databricks)
- Dynamics 365 Finance & Operations (D365 F&O) experience
- Expert Data Modelling skills (Conceptual, Logical, Physical, Dimensional)
- Databricks Data Engineering experience using PySpark
- Delta Lake and Medallion Architecture
- Delta Live Tables (DLT)
- Unity Catalog implementation and governance
- Databricks Workflows and orchestration
- Metadata-driven ingestion and transformation frameworks
- Databricks Asset Bundles (DABs)
- Databricks Autoloader
- Enterprise Data Lake and Lakehouse Architecture
- DevOps and CI/CD within Databricks environments
- Azure DevOps and Git-based deployment pipelines
- Strong stakeholder engagement and solution design capability
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Highly Desirable
- Experience working for specialist Databricks consultancies or Databricks partners
- Experience implementing Databricks Solution Accelerators
- MLflow
- Mosaic AI
- Agentic AI / GenAI enablement on Databricks
- Microsoft Fabric exposure
- Finance Data Lake programmes
- Real Estate, Property or Financial Services experience
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What You'll Be Doing
- Defining Data Architecture and Data Modelling standards
- Designing scalable Databricks Lakehouse solutions
- Implementing reusable data engineering frameworks and accelerators
- Building metadata-driven ingestion and orchestration patterns
- Supporting self-service analytics and reporting capabilities
- Working closely with Data Engineers, Architects and business stakeholders
- Ensuring data governance, quality and scalability across the platform
- Helping shape future AI-enabled reporting and analytics capabilities
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location