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Databricks Solutions Architect & Technical Leader

Simpson Associates

York and North Yorkshire, Sheffield

On-site

GBP 70,000 - GBP 90,000

Full time

30+ days ago

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Job summary

A leading data transformation company in the UK is seeking a Technical Champion to lead the development of innovative data and analytics solutions, particularly using Databricks. This role demands a hands-on leader capable of designing complex architectures and guiding technical teams while acting as a trusted advisor to clients. Candidates should have deep expertise in Databricks, a strong background in solution architecture, and the ability to communicate complex ideas clearly. This position offers opportunities for professional growth and impact in transformative data initiatives.

Qualifications

  • Proven experience in solution architecture for enterprise-scale data and analytics engagements.
  • Strong knowledge of data engineering, API design, and integration.
  • Excellent communication skills to articulate complex technical concepts clearly.

Responsibilities

  • Design and deliver complex data and analytics platforms.
  • Define and enforce coding standards, CI/CD, and DevOps practices.
  • Guide delivery teams and provide hands-on support.

Skills

Deep Expertise in Databricks
Solution architecture for enterprise-scale
Data engineering and integration patterns
DevOps and automation
Excellent communication
Collaborative mindset

Tools

Databricks
Microsoft Fabric
Python
SQL
Spark
Job description
A leading data transformation company in the UK is seeking a Technical Champion to lead the development of innovative data and analytics solutions, particularly using Databricks. This role demands a hands-on leader capable of designing complex architectures and guiding technical teams while acting as a trusted advisor to clients. Candidates should have deep expertise in Databricks, a strong background in solution architecture, and the ability to communicate complex ideas clearly. This position offers opportunities for professional growth and impact in transformative data initiatives.
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