Data Architect

Reed Talent Solutions; Manchester; On-site; GBP 56,000 - 61,000; Full time

Benefits offered by this job

Public sector pension

Job summary

Reed Talent Solutions is seeking a Data Architect for a public sector organisation based in Manchester. You will lead the design of secure, scalable data solutions to support long-term goals, collaborating across digital, technical and business teams.

The role covers data modelling, data integration, warehousing and BI on cloud platforms, with governance and security at the core. 5+ years experience and TOGAF or relevant certifications are advantageous.

Qualifications

• 5+ years of experience in data architecture.
• Experience designing data models and data dictionaries.
• Strong SQL and NoSQL experience.
• Cloud-based data services experience (Fabric, Synapse).
• Knowledge of data governance and security controls.
• Experience with BI tools for reporting.
• Ability to document high-level and low-level designs.
• Excellent stakeholder communication.

Responsibilities

• Lead and oversee data architecture across systems.
• Design and maintain data models, metadata frameworks and data dictionaries.
• Define architecture for data integration, warehousing, BI and cloud data services.
• Collaborate with architects, project teams and SMEs.
• Support full data product lifecycle from design to live service.
• Ensure usability, performance, security and governance.
• Contribute to data policies, data quality, lineage, privacy and security.
• Build relationships with stakeholders and adapt to emerging tools.

Skills

Data architecture

5+ years IT

SQL

NoSQL

MongoDB

Cloud platforms

Power BI

Tableau

Data governance

ETL/ELT

Documentation

Stakeholder mgmt

Education

Degree in a relevant subject

TOGAF certification

Tools

MS SQL

MySQL

MongoDB

Microsoft Fabric

Synapse

Power BI

Tableau

Job description

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.
• Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Degree-level education in a relevant subject, or equivalent experience, with ongoing professional development; certifications such as TOGAF, ITIL or relevant vendor accreditations would be advantageous.