Summary: The role of Databricks Consultant involves leading the design, implementation, and optimization of a modern cloud-based data platform. This hands-on contractor position requires proven experience in delivering enterprise Databricks solutions from design to production. The position is fully remote and classified as outside IR35, with an initial contract duration of six months.
Key Responsibilities:
- Design and implement scalable Databricks Lakehouse solutions.
- Build and optimise ETL/ELT pipelines using PySpark and SQL.
- Implement Delta Lake, Unity Catalog and Medallion Architecture.
- Develop batch and streaming data ingestion pipelines.
- Configure CI/CD, Infrastructure as Code and automated deployments.
- Optimise Spark performance, security and cost.
- Implement data governance, monitoring and best practices.
- Produce technical documentation and mentor internal teams.
Key Skills:
- Proven experience delivering enterprise Databricks implementations.
- Strong Databricks expertise including Delta Lake, Unity Catalog, Workflows and Delta Live Tables.
- Expert knowledge of PySpark, Python and SQL.
- Strong Apache Spark performance tuning experience.
- Experience designing modern cloud data platforms and Lakehouse architectures.
- Experience building batch and real-time data pipelines.
- Strong understanding of data modelling, ETL/ELT and data warehousing concepts.
- Experience implementing CI/CD using Azure DevOps, GitHub or GitLab.
- Infrastructure as Code using Terraform.
- Strong knowledge of data governance, security and access control.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
We are looking for an experienced Databricks Consultant to lead the design, implementation and optimisation of a modern cloud-based data platform. This is a hands-on delivery role for a contractor with proven experience implementing enterprise Databricks solutions from design through to production.
Location: Fully Remote (UK)
Contract: Outside IR35
Duration: Initially 6 months
Key Responsibilities
- Design and implement scalable Databricks Lakehouse solutions.
- Build and optimise ETL/ELT pipelines using PySpark and SQL.
- Implement Delta Lake, Unity Catalog and Medallion Architecture.
- Develop batch and streaming data ingestion pipelines.
- Configure CI/CD, Infrastructure as Code and automated deployments.
- Optimise Spark performance, security and cost.
- Implement data governance, monitoring and best practices.
- Produce technical documentation and mentor internal teams.
Essential Skills & Experience
- Proven experience delivering enterprise Databricks implementations.
- Strong Databricks expertise including Delta Lake, Unity Catalog, Workflows and Delta Live Tables.
- Expert knowledge of PySpark, Python and SQL.
- Strong Apache Spark performance tuning experience.
- Experience designing modern cloud data platforms and Lakehouse architectures.
- Experience building batch and real-time data pipelines.
- Strong understanding of data modelling, ETL/ELT and data warehousing concepts.
- Experience implementing CI/CD using Azure DevOps, GitHub or GitLab.
- Infrastructure as Code using Terraform.
- Strong knowledge of data governance, security and access control.