Data Architect

Overview

As a Data Architect, you will design end-to-end data architectures that align with business goals and security requirements. You’ll work with multiple stakeholders to translate needs into scalable, trusted data platforms and guide delivery teams. You will lead architecture reviews, support Agile delivery, and shape data governance and artefacts. You’ll help grow our practice by developing data services and engaging with clients to extract value from data-driven decisions.

Pay / Benefits

• Competitive Salary
• 25 Days Annual Leave + Bank Holidays
• Flexibility to work from home
• Discretionary Bonus
• Private Healthcare Cover
• Pension

Responsibilities

• Design end-to-end data architectures that meet business, technical, and security requirements
• Translate business and analytical requirements into scalable, secure data platforms
• Ensure alignment with enterprise data architecture, data strategy, and governance standards
• Lead data architecture reviews and technical design workshops with stakeholders and delivery teams
• Support Agile delivery teams, defining MVP data architecture and providing ongoing technical direction
• Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions
• Define data models, data flows, metadata standards, and integration patterns
• Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale
• Ensure data security, privacy, compliance, and risk management are embedded in the solution
• Produce clear data architecture documentation using standards such as conceptual, logical and physical models, C4, Archimate, and cloud-native diagrams, including high-level designs and relevant data artefacts

Key requirements

• Extensive experience in stakeholder engagement and senior-level communication, including C-suite
• Proven client-facing and/or consultancy experience
• Ability to translate complex business requirements into scalable and resilient data architectures
• Track record designing and delivering end-to-end data platforms in enterprise settings
• Expertise in conceptual, logical, and physical data modelling
• Deep understanding of data platforms, data integration, and analytics architectures
• Ability to meet functional and non-functional requirements including performance, scalability, security, and compliance
• Broad experience with data governance, data quality, master data management, and regulatory requirements
• Strong communication and influencing skills
• Collaborative and client-focused mindset
• Mentorship and leadership of technical teams
• Azure, AWS, and Google Cloud Platform (GCP)
• Data warehousing, data lakes, and lakehouse architectures
• SQL; Python, Scala, or Java

Report this job