Data Platform Architect
Burberry Group plc25 days ago
London, United KingdomSenior / Staff+
Responsibilities
- Own the technical architecture, standards, guardrails, roadmap, and design assurance for the enterprise data platform.
- Design compute and storage architecture, ingestion frameworks, access controls, performance and capacity planning, and platform cost models.
- Define standards for naming, environment management, deployment pipelines, partitioning, cost optimisation, resilience, observability, backup and recovery, auditability, and operational readiness.
- Design batch, micro-batch, and streaming ingestion architectures, semantic-layer architecture, and self-service analytics infrastructure.
- Provide practical architectural guidance to Data Platform Engineers, Data Engineers, data squads, and Data Product Managers.
- Define platform security and privacy architecture covering encryption, RBAC, PII handling, data masking, access recertification, audit logging, and retention.
- Own the architectural evolution roadmap, including SAP BW transition or retirement, Databricks maturation, and Datasphere integration decisions.
- Establish architecture decision records, exception and waiver processes, design scorecards, and measurable standards-compliance metrics.
- Contribute to enterprise architecture governance forums and vendor and tooling evaluations.
- Maintain comprehensive documentation of architectural decisions, patterns, standards, and trade-offs.
Requirements
- 7–10+ years of experience in data platform architecture, data engineering, or cloud data infrastructure.
- Deep expertise in Databricks, including Unity Catalog, Delta Lake, Spark, and Databricks SQL, or equivalent lakehouse platforms, with administration, cost management, and performance optimisation experience.
- Strong understanding of cloud-native architecture principles, cost models, CI/CD pipelines, and environment strategies.
- Proven experience implementing data security controls such as encryption, RBAC, column-level and row-level security, and data masking.
- Strong understanding of ingestion and pipeline architecture patterns for diverse source systems.
- Experience defining architectural standards and patterns for engineering teams and setting direction without hands-on delivery.
- Experience working within a centralised architecture function that engages with delivery squads.
- Experience defining enterprise-grade non-functional requirements and architecture patterns for resilience, observability, disaster recovery, data lifecycle management, and operational readiness.
- Experience using architecture decision records, design authorities, exception management, and measurable standards adoption.
- Experience with SAP data landscapes, including BW, Datasphere, and S/4HANA data flows, is highly desirable.
- Experience establishing architectural authority during transitions from outsourced to in-house ownership is beneficial.
- Retail, luxury, or consumer goods experience is beneficial.
- Ability to communicate architectural decisions to technical and non-technical stakeholders and balance pragmatic delivery with long-term strategy.
Benefits
- The role requires being based in Burberry’s Central London office four days a week.
Tech Stack
Apache SparkDatabricks
Categories
Data Engineering
About Burberry Group plc
Burberry Group plc designs, makes, and sells luxury apparel, accessories, and beauty products through owned retail stores, e-commerce, and wholesale to consumers worldwide. Its portfolio includes the Burberry trench coat and signature outerwear, leather goods, and fragrance. Founded in 1856 and headquartered in London, the company is publicly listed on the London Stock Exchange (ticker: BRBY) and operates a global store network.