Data Platform Engineer

As Data Platform Engineer, you own the reliability and administration of Burberry’s core data platforms (Databricks and Tableau Plus) with governance support from Alation and BigEye. You ensure platforms are secure, available, and well-governed, guiding incident response, changes and documentation. You work with cross-functional teams to keep data services resilient while avoiding business report or dashboard development. You collaborate with an external partner to sustain 24/7 service, providing clear context and standards. This role combines hands-on platform ownership with a focus on continuous improvement.

• Own Databricks and Tableau Plus administration, security, performance and usability across consuming teams
• Oversee Alation and BigEye governance, data observability, and related processes
• Manage workspace configuration, access controls, identity integration, onboarding and environment settings
• Coordinate with the external support partner for 24/7 incident management and routine operations
• Lead release and patch coordination within SaaS vendor constraints, including testing and communication
• Support ITIL-aligned service management (incident, problem, change, release, service readiness)
• Monitor platform health (availability, performance, cost trends, job reliability, dashboards) and perform L2/L3 troubleshooting
• Maintain runbooks, docs and best practices to ensure repeatable, auditable operations
• Implement automation to improve reliability while recognizing SaaS lifecycle boundaries
• Collaborate with architecture, security, data engineering, governance and business teams to maintain standards and controls
• Provide operational guidance to data, visualization, product and AI/ML teams on usage and constraints
• Deliver operational reporting on performance, incidents, changes, costs and partner performance
• Build cross-functional relationships to ensure reliable platform service

• Hands-on experience administering Databricks and Tableau/Tableau Plus
• Good knowledge of Databricks workspace configuration, job/runtime support, access controls and monitoring
• Good knowledge of Tableau platform administration and monitoring
• Experience with Alation and BigEye is desirable
• Experience in 24/7 operational support environments with external partners or MSPs
• ITIL-aligned service management knowledge (incident, problem, change, release, service readiness)
• Experience coordinating SaaS platform releases, upgrades and security patches
• Strong troubleshooting and incident management skills (L2/L3) with vendor escalation
• Understanding of identity and access management, audit logging and security controls for enterprise SaaS
• Ability to collaborate across architecture, data teams, cyber security, cloud infra and vendors
• Strong interpersonal, communication and problem-solving skills
• Detail-oriented with emphasis on documentation and operational resilience

• Strong interpersonal skills
• Ability to explain technical issues clearly
• Influence without direct authority
• Databricks administration
• Tableau/Tableau Plus administration
• Alation and BigEye governance/observability