Data Platform Engineer

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Department: INFORMATION TECHNOLOGY

City:
London

Location:

GB

At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded in 1856 and is central to how we operate as a company today.

We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do. As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities.

The Data Platform Engineer is responsible for the operational reliability and day‑to‑day technical administration of Burberry’s core data and analytics platforms, primarily Databricks and Tableau Plus, with oversight of Alation andBigEye.

The purpose of the role is to ensure these platforms remain available, secure, performant, well‑governed and reliable for users. The role provides hands‑on technical ownership across configuration, access, monitoring, troubleshooting, release coordination, change enablement, operational readiness, documentation and continuous improvement.

This is not a business reporting or dashboard build role. For Tableau Plus, the role owns platform administration, service health, access, configuration, performance and operational support; responsibility for report content, business metrics and visualisation outputs remains with the relevant data, analytics and business teams.

The role works heavily in conjunction with Burberry’s operational support partner, who is responsible for 24/7 operational management and routine “keep the lights on” activity. The Data Platform Engineer provides Burberry‑sidetechnical ownership, assurance and escalation support, ensuring the partner has the context, standards, runbooksand direction needed to support the platforms effectively.

• Accountable for hands‑on administration, configuration, monitoring, operational support, service assurance and continuous improvement across Databricks, Tableau Plus, Alation and Big Eye.
• Accountable for ensuring platform processes, security controls, monitoring, change activity and operational documentation are robust, supportable and aligned to Burberry technology standards.
• Works with the operational support partner on incident, problem, change, release, security fix and service management activity, recognising that updates and platform lifecycle activity are managed within the constraints of SaaS vendor operating models.
• Not accountable for enterprise data architecture, business data models, report/dashboard content, data product delivery or business‑facing analytics outputs.
• Key interfaces include Senior Manager, Data Platforms, Data Platform Architect, Data Engineering, Visualisation & Reporting, Data Product teams, Data Governance, Cyber Security, Cloud & Infrastructure, SIAM, Service Desk, operational support partner, MLOps/AI teams and strategic technology vendors.

• Provide hands‑on technical ownership for Databricks and Tableau Plus, ensuring both platforms are available, secure, performant, well‑administered and fit for use by consuming teams.
• Provide platform oversight for Alation and Big Eye, ensuring governance, catalogue, data observability and related operational processes are understood, monitored and effectively supported.
• Manage platform administration activities, including workspace/site configuration, access…