Senior Data Architect Job at FSP (Glasgow or Reading, Berkshire)

Senior Data Architect

FSP

Location:
United Kingdom , Glasgow or Reading, Berkshire

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We have an exciting opportunity for a Data Architect to join our growing Data & AI team. The successful applicant will work alongside our architects and consultants to deliver high-quality data solutions to help our customers become more successful in becoming a data-guided organisation. The Data Architect is responsible for planning, designing and delivering elegant solutions using Microsoft Azure data services. The Data Architect engages in the full project lifecycle from presales through to operational handover and is accountable for the technical delivery of projects.

Job Responsibility:

Designing cloud-based data platforms and data solutions using a wide range of Azure Services including Azure Databricks, Azure SQL Database, Azure Data Lake/Blob Storage, Microsoft Fabric, Azure Synapse Analytics, Azure Cosmos DB, Azure Data Factory, Power BI and cloud-native integration technologies
Building conceptual, logical and physical data models optimised for analytical use cases
Contribute to definition of data architecture framework, standards and principles
Mapping data from source to target and establishing current & future state based on business requirements
Provide technical leadership and mentoring to team members
Responsible for the technical readiness, scalability, & quality assurance of final deliverables
Effectively translate and accurately communicate across technical and non-technical stakeholders as well as facilitate discussions within a multidisciplinary team
Prepare technical documentation to a high standard

Requirements:

Extensive modern data platform expertise, including Data Warehouses, Data Lakes, Dimensional Modelling, and both streaming and batch processing approaches
Strong grounding in data strategy and management, covering people/process/technology pillars, Data Governance, Data Quality, Master & Reference Data Management, Metadata Management, and Security & Compliance
Deep experience with Data Warehouse methodologies and strong SQL capability, complemented by solid experience in Python/PySpark
Broad hands-on experience across Azure Data Services, including Azure Databricks, Azure SQL Database, Data Lake/Blob Storage, Microsoft Fabric, Synapse Analytics, Cosmos DB, Azure Data Factory, and Power BI
Strong understanding of supporting technologies, including Azure infrastructure (Subscriptions, Resource Groups, VNets, Kubernetes, IAM), modern reporting platforms (dashboarding, advanced analytics, ML/AI), and Infrastructure-as-Code tools such as Terraform or Bicep, plus good knowledge of Azure DevOps Pipelines
Excellent communication and stakeholder engagement, with the ability to simplify complex concepts and manage peer/senior stakeholders, including executive sponsors

Nice to have:

Knowledge and experience of the following would be advantageous: Architecture: Agentic AI, enterprise architecture frameworks, and Apache Spark
Data & Platforms: Enterprise data integration, Microsoft BI stack, and AI/ML platforms on Azure/Databricks/Fabric
Cloud & DevOps: AWS/GCP and CI/CD tools (BitBucket, Jenkins)
Certifications: Azure Architect Expert and/or TOGAF

What we offer:

A collaborative and supportive environment in which you can grow and develop your career
The tools and opportunity to do work you can be proud of
A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
Industry leading coaching and mentoring
Competitive salary and an excellent benefits package

Additional Information:

Job Posted:
January 20, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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