Senior Data Architect
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Job description
Remote (UK) This is a fantastic opportunity to join a major organisation undergoing a significant Azure Data Lakehouse transformation. You’ll take ownership of enterprise-wide data modelling and architecture, helping the business evolve from traditional reporting towards advanced analytics and data-driven decision making.THE COMPANY:This well-established UK professional services organisation has invested heavily in modernising its technology and data landscape, building a cloud-based Azure Data Lakehouse platform to support business-critical operations.With thousands of employees nationwide and a strong reputation for delivering specialist expertise alongside exceptional client service, the business is embracing a data-driven culture and placing analytics at the heart of strategic decision making.THE ROLE:You will take ownership of the organisation’s data architecture strategy, ensuring alignment with the wider data vision while defining and governing data models, standards and semantic layers across the business. Key responsibilities include:
- Designing and governing enterprise-wide data models across Bronze, Silver and Gold layers within a Medallion Architecture.
- Creating scalable curated data models using dimensional modelling and Kimball methodologies.
- Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform.
- Managing logical and physical data models, metadata, business glossaries and data flows across the organisation.
- Partnering with Data Engineers, Analytics Engineers and senior technology stakeholders to deliver scalable solutions.
- Providing architectural assurance for business-critical initiatives and ensuring alignment with data strategy and best practice.
- Acting as the organisation’s technical authority for data modelling, governance and architecture standards.
- Supporting the transition from operational reporting towards predictive and prescriptive analytics capabilities.
Requirements
- Enterprise Data Architecture and Data Modelling.
- Dimensional modelling, star schemas, fact and dimension modelling, and Kimball methodologies.
- Designing logical, physical and analytical data models across complex environments.
- Azure Data Lakehouse and Medallion Architecture environments.
- Semantic layer design and curated data model development.
- Data governance, metadata management and architecture standards.
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