Data Platform Engineer: Databricks & Tableau Ops

Burberry; England; On-site; GBP 70,000 - 120,000; Full time

Job summary

Burberry is seeking a Data Platform Engineer to ensure reliable operation of our core data platforms, primarily Databricks and Tableau Plus, with governance for Alation and BigEye.

You will own platform administration, security, access, monitoring, and incident response, working with our support partner to keep services available 24/7.

This role focuses on operational excellence, runbooks, and continuous improvement, enabling analytics teams to deliver trusted data products.

Qualifications

• Experience administering enterprise data and analytics platforms.
• Hands-on Databricks and Tableau administration.
• Experience with data governance tools like Alation/BigEye.
• Familiarity with ITIL-based service management.

Responsibilities

• Provide hands-on ownership for Databricks and Tableau Plus platforms.
• Oversee Alation and BigEye governance and observability.
• Manage workspace configuration, access controls, and environment settings.
• Coordinate with the partner for 24/7 incident management and service restoration.
• Coordinate platform upgrades, patches and security fixes within SaaS constraints.
• Support ITIL processes and maintain runbooks and procedures.
• Monitor health, usage, cost trends and performance indicators.
• Provide operational reporting on service performance and incidents.
• Collaborate across teams, vendors and users to ensure reliable platform service.

Skills

Databricks administration

Tableau administration

ITIL service management

Incident and problem management

Security controls and audit logging

Vendor management

Monitoring and troubleshooting

Automation for reliability

Tools

Databricks

Tableau

Alation

BigEye

Job description

Burberry is seeking a Data Platform Engineer to ensure reliable operation of our core data platforms, primarily Databricks and Tableau Plus, with governance for Alation and BigEye.

You will own platform administration, security, access, monitoring, and incident response, working with our support partner to keep services available 24/7.

This role focuses on operational excellence, runbooks, and continuous improvement, enabling analytics teams to deliver trusted data products.