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About the Role
The Data Platform Architect is accountable for the technical architecture of the enterprise data platform, ensuring it meets the demands of a growing data estate while maintaining performance, cost efficiency, security, and alignment with enterprise architecture standards. This role will own the internal technical architecture, including compute and storage design, ingestion framework patterns, data modeling standards, access control architecture, platform performance and capacity planning, and establishing architectural authority, documenting design decisions, and ensuring knowledge retention.
Responsibilities
- Design and maintain the platform's technical architecture, including compute/storage design, ingestion frameworks, access control, performance tuning, and capacity planning.
- Define and maintain architectural standards and guardrails (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 the 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.
- Design data ingestion architecture (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 architecture supports emerging requirements, including agentic AI data infrastructure, MLOps productionisation, and advanced analytics.
- Collaborate with the Senior Manager, Data Platform Engineering to ensure platform operations are aligned to the target architecture.
- Collaborate with the Senior Manager, Data Engineering to ensure data engineering work follows defined patterns and standards.
- Own the data platform roadmap from an architectural perspective, defining how the platform evolves over time.
- 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.
- 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.
Requirements
- 7–10+ years in data platform architecture, data engineering, or cloud data infrastructure.
- 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.
- 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.
- Ability to thrive in evolving environments, balancing pragmatic delivery with long-term strategy.
- Experience establishing architectural authority in environments transitioning from outsourced to in-house ownership is beneficial.
- Experience in Retail, Luxury, or Consumer goods industries 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.
Skills
- Databricks (Unity Catalog, Delta Lake, Spark, Databricks SQL)
- Lakehouse platforms
- Cloud-native architecture principles
- CI/CD pipelines
- Data security (encryption, RBAC, column/row-level security, data masking)
- Ingestion and pipeline architecture patterns
- SAP data landscapes (BW, Datasphere, S/4HANA data flows)
- Architecture governance
- Resilience
- Observability
- Disaster recovery
- Data lifecycle management
- Operational readiness
Location
- Central London
Work Type
- Hybrid
Experience Level
- 7-10+ years
About the Company
- 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 as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities.