The Data & Analytics team is undertaking a major transformation to migrate from a fragmented legacy estate to a scalable, cloud native, Unified Data Platform. The Data Architect plays a critical role in the Data Architecture squad, responsible for designing the conceptual and logical schemas for the "Trusted Data Layer." Working under the Lead Data Architect, this role translates business requirements into robust technical designs using Lakehouse Architecture and Data Vault 2.0 standards. The position focuses on ensuring that data ingestion, processing, and consumption are fully governed, reducing "Shadow D&A" practices and retiring legacy technical debt to create a single, audit-ready ecosystem.
Key Roles & Responsibilities
* Design and maintain conceptual and logical data models for the Unified Data Platform (UDP), utilising Data Vault 2.0 methodology (Hubs, Links, Satellites) to ensure historical auditability and business alignment.
* Define architectural patterns for the Trusted Data Layer, ensuring data is curated, standardised, and ready for enterprise consumption.
* Collaborate with Data Engineers to translate architectural designs into efficient SQL transformation logic, ensuring alignment between strategy and execution.
* Map complex legacy source systems to the new Lakehouse Architecture, driving the migration strategy from fragmented platforms (e.g., Oracle, Teradata) to the Unified Data Platform Data Vault.
* Implement data governance standards, including metadata management, lineage, and data quality rules, to ensure "Gold Standard" datasets.
* Provide architectural consultancy to agile delivery squads, ensuring solutions adhere to architectural policies and practices.
* Support the creation of data products that enable self-service analytics and reduce "Shadow D&A" practices.
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