Databricks SME
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Role details
Tech stack
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Requirements
- Proven experience as a Databricks SME, with hands-on expertise in implementing and managing Databricks platforms.
- Strong understanding of data architecture, data pipelines, and AI/data foundations.
- Familiarity with Atlassian tools and their integration within complex data environments.
- Excellent communication skills, capable of guiding teams through technical discovery and strategic planning.
- Ability to work independently and collaboratively in a fast-paced, innovative environment.
- Prior experience in the retail industry or similar sectors is advantageous.
Tech:
- Databricks (Unity Catalog, cluster & job optimisation)
- Delta Lake / Lakehouse architecture
- Python / PySpark
- SQL
- Cloud provider - AWS/Azure
- CI/CD, Terraform, orchestration tool if relevant
About the company
A growing business is investing further in its data platform - but this one’s a little different. Rather than building from scratch, they need a genuine Databricks SME to come in and optimise an existing platform: improving performance, cost efficiency, governance, and architecture as part of a wider greenfield initiative.
This is a high-impact contract for someone who knows Databricks inside out and wants to make an immediate, visible difference - not just maintain what’s already there.
You’ll work closely with stakeholders, reviewing the current setup, identifying where it’s falling short, and re-architecting where needed - all while the business scales.
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