Databricks Technical Lead

The role will focus on defining technical direction and architecture across Databricks and the wider AWS estate, ensuring scalable and secure development practices, and overseeing delivery through the full software development lifecycle. The successful candidate will work closely with Development, Business Analysis, QA, Application Support, IT Security, and Enterprise Architecture teams to deliver robust and high-performing solutions across complex banking and financial systems., * Lead the development and enhancement of strategic banking data platforms and applications across Databricks and AWS cloud environments

• Design, build, and optimise large-scale data pipelines using Spark / PySpark, Delta Lake, and Databricks Workflows
• Own data governance and access control within the Databricks environment, including Unity Catalog design and implementation
• Manage cloud infrastructure deployments using Terraform and Infrastructure as Code best practices
• Maintain technical documentation and internal knowledge resources
• Provide technical leadership through mentoring, code reviews, and best practice guidance
• Support architectural design with a focus on scalability, performance, cost efficiency, and reliability
• Drive CI/CD improvements across cloud and on-premise environments
• Promote clean coding standards, automated testing, and effective use of AI-assisted development tools

• Enterprise SDLC experience
• Financial services experience, including banking exposure
• Strong hands-on Databricks experience, including Spark / PySpark, Delta Lake, Databricks SQL, and Workflows, with proficiency in Python and / or Scala
• Experience of Unity Catalog and data governance within a regulated environment
• Strong AWS experience (EC2, Lambda, ECS, RDS, S3, IAM)
• Hands-on Terraform / Infrastructure as Code experience
• CI/CD experience using Jenkins
• Degree in Computer Science or related discipline (or equivalent experience)
• IBM MQ or similar messaging systems