This is a Data Architect, 6 months FTC (possibility to go full time perm), Hybrid (2 days, Liverpool or Glasgow)
In this role you will define how data is structured, modelled and connected across the organisation, ensuring it is designed in a consistent, scalable and strategic way. The role provides the data-focused architectural direction that enables high-quality engineering delivery, supports governance and promotes the effective use of data across business.
Working as part of the Group Data function, you will be pivotal in defining our future state Enterprise Data Platform and Master Data Model, establishing design standards and shaping the architectural direction that guides the evolution of our data capabilities.
While collaborating with IT architecture teams, you will maintain a clear focus on the data platform and its associated structures, ensuring that data considerations—such as model design, semantics and lifecycle management—are fully represented in long term planning and change initiatives.
This is a great opportunity for an experienced Data Architect to make their mark on the organisation.
What you’ll be responsible for
- Set principles and patterns for how data is structured, modelled and connected.
- Develop and maintain the roadmap for the future-state Enterprise Data Platform.
- Evaluate and recommend modern data architectures such as data mesh, data fabric and data lakehouse.
- Provide data-centric architectural leadership within programmes, projects and delivery squads.
- Define and maintain conceptual, logical and physical data models.
- Review data aspects of engineering designs and ensure alignment with data standards.
- Collaborate with Data Engineering, Data Governance and IT architecture teams on data-related decisions.
- Act as a senior advisor on data architecture across the organisation.
About you
If you meet some of these criteria and are excited about the role, we encourage you to apply - Deep experience in data architecture and data modelling across enterprise environments.
- Strong knowledge of modern data platforms and cloud-based data services.
- Understanding of data integration and transformation patterns.
- Experience defining future-state data platform strategies in cloud environments (Azure, AWS, GCP, Snowflake).
- Understanding of modern data concepts such as Data Products and Data as a Product.
- Ability to influence stakeholders and collaborate with IT architects.
- Familiarity with data engineering tooling such as Snowflake, DBT, Airflow and Fivetran.
The wider technology stack is: - Cloud based Big Data Platform - Snowflake
- Databases - SQL Server, Oracle, NoSQL
- Data Integration tools (MuleSoft, Fivetran, SSIS)
- Cloud service experience - AWS and\or Azure
- Visualisation tools- Power BI
- Data modelling tools- Python, R, Alteryx and Business Objects
- Remote working, O365 Productivity stack
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