Data Architect

Data Architect £56,293 - £61,064 per annum + public sector pension 2-3 days per week on-site in Manchester A public sector organisation is looking to appoint a Data Architect to help shape and deliver its data strategy. This is an excellent opportunity for a Data Architect to lead the design of secure, scalable and reliable data solutions that support long-term organisational goals.

The successful Data Architect will work across digital, technical and business teams to ensure data is well governed, accessible and fit for purpose. Day-to-day of the role Lead and oversee data architecture across a range of systems, ensuring alignment with wider enterprise and digital strategies.

Design and maintain data models, metadata frameworks and data dictionaries to support business and technical needs. Define architecture for data integration, warehousing, business intelligence and cloud-based data services.

Work closely with technical architects, project teams and subject matter experts to make sure solutions are robust, secure and scalable. Support the full data product lifecycle, from design through to implementation and transition into live service.

Ensure solutions meet key architectural standards around usability, performance, capacity, security, availability, maintainability and governance. Contribute to data policies, procedures and best practice, including data quality, lineage, privacy and secure-by-design principles.

Build strong relationships with internal stakeholders, external partners and suppliers, while keeping up to date with emerging tools and technologies. Required Skills & Qualifications Considerable experience in a data architecture or similar role, with a minimum of 5 years working in IT.

Proven background in designing and implementing complex data architectures, including data modelling, database design and integration. Strong knowledge of SQL and NoSQL databases such as MS SQL, MySQL and MongoDB, including performance tuning and optimisation.

Hands-on experience with cloud-based data platforms, particularly Microsoft Fabric and Synapse. Strong understanding of data warehousing, ETL/ELT processes, APIs, data pipelines and analytics architecture. Good knowledge of data governance, including data quality, metadata management, data lineage, privacy and security controls.

Experience with BI tools such as Power BI or Tableau and designing architectures that support reporting and insight. Ability to produce high-quality technical documentation, including high-level and low-level designs, and transition solutions effectively into support teams....

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