Data Architect

Contract: Permanent

Location: Flexible hybrid working style with three days in the London office

The role

As Data Architect for D&A you will be responsible for enterprise data architecture, designing conceptual and logical data models that guide Commerce, Finance, Manufacturing, Supply Chain, Merchandising, Consumer and other data transformations at Pandora.

What To Expect From The Role

• Leading enterprise information architecture design, creating semantic, conceptual, logical models that engineering teams translate into Azure Synapse and Databricks based physical implementations.
• Architecting domain data models for commerce (store, consumer, marketing, omnichannel, e-commerce), manufacturing (production, quality, materials), and supply chain (wholesale, inventory, distribution, planning) that reflect business capabilities.
• Designing data product interfaces and semantic contracts that define how business entities flow through bronze-to-gold transformations, enabling interoperability between domain-owned data products.
• Developing semantic layer architectures that provide business-oriented abstractions, hiding technical complexity while enabling self-service analytics.
• Review data architectural blueprints for core application transformation (SAP, Salesforce, o9, workforce management) ensuring smooth transitional architecture while maintaining business continuity.
• Co-create master data management strategies for products, customers, suppliers, and stores, establishing authoritative sources and harmonization patterns across systems together with master data responsible.
• Establishing data quality measures and modelling standards embedded in architectural patterns: operational schemas in bronze, conformed and dimensional entities in silver, and consumption-ready models in gold.
• Reviewing key physical model proposals from engineering teams, ensuring alignment with enterprise information data models.
• Designing information value chains and data product specifications with clear contracts for downstream consumption by analytics, AI, and data consumers.
• Mapping business capabilities to information domains, creating bounded contexts aligned with Domain-Driven Design principles for manufacturing, commerce, and supply chain.
• Providing architectural oversight through design reviews and decision records to ensure adherence to data standards and governance requirements.
• Contribute to business glossaries and semantic models that bridge business language and technical implementation, ensuring consistent understanding across technical and business stakeholders.
• Mentoring teams on data architectural best practices while documenting anti-patterns to avoid common pitfalls in dimensional modelling and naming standards.

The successful candidate

• Proven experience designing enterprise-scale information architectures (multi-source, multi-domain at scale) that successfully went into production.
• Domain expertise in commerce, manufacturing, or supply chain data models – understanding product hierarchies, inventory flows, customer journeys, manufacturing, or merchandising analytics.
• Demonstrated experience architecting shared data models in modern lakehouse patterns, including defining silver-layer conformance standards and gold-layer consumption contracts.
• Practical experience with both traditional dimensional modeling (Kimball, Data Vault etc.) and modern data mesh/lakehouse patterns, with ability to guide teams through transitional architectures harmonizing both paradigms.
• Understanding of Azure data platform capabilities (Synapse, Databricks, Unity Catalog, Data Factory) to guide architectural decisions in daily implementations.
• Track record of guiding teams through major digital transformations, particularly SAP S/4HANA migrations, o9 implementations, or multi-system platform modernizations.
• Demonstrated ability to create semantic layers and logical models that achieved actual business adoption and self-service analytics usage.
• Experience establishing master data management patterns and data governance frameworks integrated into architectural design.
• Excellence in stakeholder communication – explaining data architecture to non-technical audiences while providing technical guidance to engineering teams.
• Collaborative leadership style – guiding teams to good decisions rather than mandating solutions, with pragmatic approach balancing best practices with delivery realities.
• Experience establishing reusable patterns and reference architectures that accelerate delivery across multiple domains and teams.

What We Offer

• Career Development & Growth: tailored development plans, mentorship, and regular reviews.
• Competitive Salary & Regular Reviews.
• Generous Bonus Scheme.
• Hybrid Working Flexibility: three office days and two work-from-home days between Monday and Thursday.
• Early Finish Fridays: 3 PM finish.
• Private Healthcare.
• Employee Discounts & Perks: up to 55% off Pandora products and other benefits.
• Annual Leave & Flexibility: 25 days plus bank holidays, option to buy or sell leave, birthday off.
• Wellness Hub & Support: wellness resources and Employee Assistance Programme.
• Recognition & Celebrations.

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