Information Architect

London Source: WhatJobs

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Overview

As Data Architect, you will shape Pandora’s enterprise data architecture across commerce, manufacturing and supply chain, ensuring trusted data for analytics and AI. You’ll design conceptual and logical models, establish blueprints and naming standards, and guide engineering teams implementing on Azure-based platforms. You’ll architect domain data models and data product interfaces to enable self-service analytics and seamless data flows. This role blends governance with hands-on design to support Pandora’s data-driven transformation.

Pay / Benefits

Hybrid working (3 office days)
Private healthcare
Generous bonus scheme
Annual leave 25 days + bank holidays
Wellness resources and EAP
Employee discounts & perks

Responsibilities

Lead enterprise information architecture design and create semantic, conceptual, and logical models for engineering implementation
Architect domain data models for commerce, manufacturing, and supply chain to reflect business capabilities
Design data product interfaces and semantic contracts for bronze-to-gold transformations
Develop semantic layer architectures for business-facing analytics and self-service access
Review blueprints for core apps (SAP, Salesforce, o9) to ensure transition alignment and continuity
Co-create Master Data Management patterns for products, customers, suppliers, and stores
Establish data quality measures and modelling standards across bronze, silver, and gold layers
Review physical model proposals to align with enterprise data models
Design information value chains and data product specifications for downstream consumption by analytics, AI, and data consumers
Map business capabilities to information domains using Domain-Driven Design principles
Provide architectural oversight through reviews and governance adherence
Contribute to glossaries and semantic models bridging business and technical language
Mentor teams on data architecture and document anti-patterns in dimensional modelling and naming standards

Key requirements

Proven experience designing enterprise-scale information architectures in multi-source, multi-domain environments
Domain expertise in commerce, manufacturing, or supply chain data models
Experience with modern lakehouse patterns, silver/Gold layer concepts, and conformance standards
Knowledge of traditional dimensional modelling (Kimball, Data Vault) and data mesh/lakehouse transitions
Understanding of Azure data platform capabilities (Synapse, Databricks, Unity Catalog, Data Factory)
Track record of guiding transformations including SAP S/4HANA migrations and o9 implementations
Ability to create semantic layers and logical models with business adoption and self-service analytics in mind
Experience establishing Master Data Management patterns and governance within architecture
Strong stakeholder communication and collaborative leadership
Experience delivering reusable patterns and reference architectures across domains