Serving our customers, communities, and planet a little better every day.
Applications close 23rd June at 5pm.
What you’ll be doing
- Define and own data architecture patterns, standards and target state designs for our Microsoft Fabric platform, ensuring consistency across ingestion, storage, semantic modelling and consumption layers.
- Lead the design and governance of enterprise and domain data models, from conceptual and logical models through to physical implementations optimised for Fabric (Lakehouse, Warehouse and semantic models).
- Partner with data engineers, analytics engineers and platform teams to ensure data models are correctly implemented, performant and aligned to architectural intent.
- Shape and assure the semantic layer (e.g. shared dimensions, facts and metrics), enabling trusted, reusable analytics and reducing duplication across teams.
- Work with Product, Business and Data Owners to translate business concepts, KPIs and regulatory requirements into clear, well governed data structures.
- Embed data quality, lineage, metadata and lifecycle management into all designs, aligned to data governance, privacy and regulatory obligations.
- Provide architectural assurance across change initiatives, balancing speed of delivery with long term data integrity, resilience and operational sustainability.
- Mentor and coach engineers and analysts on data modelling best practice, raising overall data architecture maturity across the organisation.
We need you to have
- Proven experience as a Data Architect working across modern analytics and data platforms.
- Strong, hands‑on expertise in data modelling, including:
- Conceptual and logical enterprise data models
- Dimensional modelling (facts, dimensions, star/snowflake schemas)
- Experience designing semantic layers for self‑service analytics
- Experience designing data architectures on cloud-based platforms, ideally Microsoft Fabric, Azure Synapse, or equivalent lakehouse style platforms.
- Deep understanding of how data models support analytics, reporting, AI/ML and operational use cases, not just storage.
- Ability to work effectively in Agile and product led environments, providing clear architectural direction without becoming a delivery bottleneck.
- Strong stakeholder engagement skills, with the ability to explain complex data concepts clearly to both technical and non‑technical audiences.
And if you have any of these, even better
- Experience working in regulated or customer critical environments (e.g. financial services, insurance), with an understanding of data risk, privacy and regulatory constraints.
- Knowledge of Microsoft Fabric components such as Lakehouse, Warehouse, Data Factory, OneLake and Power BI semantic models.
- Experience aligning data architecture with data governance, ownership models and operating frameworks.
- Background supporting or enabling AI / advanced analytics through well designed data foundations.
What’s in it for you
- Colleague pension scheme to support your future.
- Private Medical Insurance (WL2+) and Virtual GP service for you and your family.
- Performance related annual bonus.
- Generous holiday allowance – minimum 7.2 weeks, with options to buy more.
- Colleague Clubcard with up to 15% discount and a second card to share.
- Enhanced family friendly policies, including maternity, shared parental and paternity leave.
- Access to award winning learning and development opportunities to support your long‑term career.
- Buy as You Earn and Save As You Earn share schemes.
Everyone’s welcome
We want all our colleagues to feel welcome and be themselves. We’re committed to building a more inclusive workplace and celebrating the diversity that makes us stronger.
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