Own and evolve the Databricks data platform strategy to align with analytics, product, and business priorities.
Design and operate data environments (DEV, STG, PROD) to support performance, governance, and scalability.
Act as the technical authority on data infrastructure decisions, aligning with long-term business goals.
Lead initiatives to consolidate data tools, modernise platform architecture, and reduce technical debt.
Partner with analytics engineers, data scientists, product owners, and commercial leaders to shape platform capability.
Support education and enablement of platform users, promoting efficient and cost-conscious usage.
Serve as the escalation point for platform-related issues and strategic data decisions.
Collaborate with the Data Governance team to embed policies that ensure data transparency, retention, and compliance.
Manage relationships with platform vendors including Databricks, overseeing usage, renewals, and optimisation.
Mentor platform users and junior engineers, building internal capability and platform understanding.

Bachelor's degree or higher in Data Engineering, Computer Science, or a related field.
Proven experience in managing enterprise-scale data platforms.
Strong expertise in Databricks, Spark, and SQL performance optimisation.
Track record of leading infrastructure projects and cloud platform strategy at scale.
Deep understanding of platform cost management, DR strategy, and governance integration.
Experience working with Agile teams and delivering platform capabilities that support end users.
Ability to influence across functions and lead without direct authority.
Strong vendor management, stakeholder communication, and planning skills.

Data Platform Lead

Key skills