Lead Data Engineer

• Lead the migration of customer data from an external third-party provider to the new Databricks platform.
• Define and implement the end-to-end data architecture strategy within Databricks.
• Design scalable, secure, and high-performance data pipelines.
• Establish governance, data modelling standards, and best practice frameworks.
• Act as technical authority and SME for Databricks across the programme.
• Provide architectural oversight while remaining hands-on with engineering delivery.

My client are seeking an experienced Data Architect to lead the migration of customer data from a third-party platform onto the new Databricks environment. This is a hands-on leadership role requiring deep Databricks expertise combined with architectural ownership and delivery accountability., * Deep hands-on expertise in Databricks (architecture, optimisation, deployment).

• Deep expertise in Azure data services (Databricks, Data Factory, ADLS) and strong understanding of distributed data processing.
• Hands-on experience with CI/CD tooling (Azure DevOps/GitHub) and modern DevOps practices for data engineering.
• Strong grasp of data architecture, ETL/ELT design, and performance optimisation.

Desirable Experience

• Proven experience leading enterprise data platform implementations.
• Strong experience migrating customer data between platforms.
• Experience operating in senior/lead/senior/lead/principle-level engineering roles.
• Strong understanding of data governance, security, and compliance frameworks.
• Comfortable leading small, high-performing teams.
• Experience working within retail, eCommerce, or customer-focused environments (preferred).