Data Architect

Role: Data Architect

Location: Guildford Business Park Guildford Surrey GU2 8XG

Rate/Salary: contract or Perm

Is it Onsite/Remote/Hybrid: Onsite

No. of Positions: 1

Role Overview

We are seeking an experienced Data Architect to lead the design, governance, and evolution of enterprise data architecture and analytics capabilities. This role is critical to enabling data-driven decision-making by defining scalable, secure, and well-governed data solutions aligned with business and technology strategies.

As part of the Data Architecture function, the successful candidate will play a key role in shaping data platforms, standards, and best practices while collaborating closely with business, analytics, and engineering teams.

Key Responsibilities

• Define and manage enterprise data architecture to maximize the value of data assets.
  
• Develop and maintain a Data Architecture Strategy, Blueprint, and Roadmap.
  
• Implement architecture- and capability-led approaches to support advanced analytics and large-scale data initiatives.
  
• Define information architecture requirements for large and complex programs.
  
• Create reusable enterprise data architecture models, standards, and patterns.
  
• Establish, promote, and govern data governance best practices, including quality, security, and compliance.
  
• Act as a subject matter expert for end-to-end data architecture across platforms and domains.
  
• Collaborate with agile delivery teams to design and implement modern, scalable data products using emerging technologies.
  
• Partner with business and IT stakeholders to advocate for data architecture principles and alignment.
  
• Provide mentorship and guidance to build data architecture capability across teams.
  
• Support both change initiatives and business-as-usual (BAU) requirements through strong stakeholder communication.
  
• Contribute to innovation, continuous improvement, and internal knowledge-sharing communities.
  

Required Skills & Experience

Data Architecture & Modelling

• Strong experience designing conceptual, logical, and physical data models.
  
• Ability to harmonize data across multiple domains and lines of business.
  
• Experience integrating data from multiple sources while ensuring consistency and accuracy.
  

Data Governance & Compliance

• Proven experience defining and implementing data governance frameworks, policies, and standards.
  
• Strong understanding of data security, privacy, and regulatory compliance requirements.
  

Data Platforms & Technology

• Technical leadership experience with enterprise data platforms and ecosystems.
  
• Exposure to platforms such as SAS, Oracle, and cloud-based data technologies.
  
• Strong understanding of modern data engineering and analytics architectures.
  

Collaboration & Leadership

• Experience working with cross-functional teams to align data architecture with business objectives.
  
• Strong communication skills, with the ability to influence both technical and non-technical stakeholders.
  
• Adaptable, proactive, and eager to learn in a rapidly evolving data landscape.
  

Education

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent experience).