About this role
Salary: £32,000 - 72,000 per year
Requirements: Deep expertise in Databricks (Unity Catalog, Delta Lake, Spark, Databricks SQL) or equivalent Lakehouse platforms, including administration, cost management, and performance optimisation.Strong understanding of cloud-native architecture principles, cost models, and practical experience with CI/CD pipelines and environment strategies.Proven implementation of data security (encryption, RBAC, column/row-level security, data masking).Strong understanding of ingestion and pipeline architecture patterns for diverse source systems.Experience with SAP data landscapes (BW, Datasphere, S/4HANA data flows) is highly desirable given our technology estate.Experience defining architectural standards and patterns that engineering teams implement and comfortable setting direction without hands-on delivery.Experience working within a centralised architecture function that engages flexibly with delivery squads.Ability to communicate architectural decisions to both technical and non-technical stakeholders.Experience establishing architectural authority in environments transitioning from outsourced to in-house ownership is beneficial.Experience defining non-functional requirements and architecture patterns for enterprise-grade resilience, observability, disaster recovery, data lifecycle management and operational readiness.Experience using architecture decision records, design authorities, exception management and measurable standards adoption to embed architectural governance without slowing delivery. Responsibilities: Design and maintain our platforms technical architecture, including compute/storage design, ingestion frameworks, access control, performance tuning, and capacity planning.Define and maintain architectural standards and guardrails, including naming conventions, environment management, deployment pipelines, partitioning strategies, and cost optimisation patterns.Own platform cost modelling and FinOps governance, defining cost allocation patterns and identifying optimisation opportunities.Align with our Data Senior Solution Architect and Data Solution Architects to ensure consistency with enterprise data architecture and models.Translate architectural direction into practical engineering guidance for Data Platform Engineers and Data Engineers, ensuring teams can implement within defined standards without requiring bespoke architectural intervention for standard use cases.Design data ingestion architecture for batch, micro-batch, and streaming with clear boundaries for system-to-system integration.Define architecture for the semantic layer and self-serve analytics infrastructure.Provide input to data squads for complex data products and support Data Product Managers and Data Engineers where architectural complexity requires it.Ensure our architecture supports emerging requirements, including agentic AI data infrastructure, MLOps productionisation, and advanced analytics.Collaborate with the Senior Manager, Data Platform Engineering and the Senior Manager, Data Engineering to ensure platform operations and data engineering work align with the target architecture.Own the data platform roadmap from an architectural perspective, including platform evolution decisions.Contribute to enterprise architecture governance forums, representing data platform considerations in broader technology decisions.Provide architectural input to vendor and tooling decisions, evaluating technology options and providing recommendations for platform evolution.Maintain comprehensive documentation of design decisions, patterns, standards, and trade-offs.Define non-functional platform architecture standards covering resilience, backup/restore, disaster recovery, observability, service levels, auditability, and operational readiness.Define platform security and privacy architecture in partnership with Cyber Security and Data Governance, including PII handling, access recertification, audit logging, and retention patterns.Establish architecture decision records, exception/waiver processes, and design scorecards so deviations from platform standards are visible, time-bound, and governed.Maintain platform adoption, performance, cost, and standards-compliance metrics, using them to guide roadmap priorities and architecture governance decisions. Technologies: Agentic AIAIArchitectCI/CDCloudDatabricksSupportMLOpsRBACSAPSQLSecuritySparkUnityGameDev More:
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. 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, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities. The Data Platform Architect owns the technical architecture of our enterprise data platform, helping ensure it remains scalable, secure, cost-efficient, and aligned with enterprise standards while working across Enterprise Data, Enterprise Platforms & Operations, Data Governance, Cyber Security, Solution Architecture, MLOps/AI teams, and strategic technology vendors.
last updated 36 week of 2026