Expected Outcomes

The role is expected to produce clear, usable outputs that support Lead Architects, engineering teams, and delivery governance across the DWIT transformation.

Expected outcomes include:

• Accurate and complete documentation of assigned feeds, interfaces, dependencies, service owners, schedules, consumers, and operational constraints.
• Clear analysis packs that support AWS transformation options, including current-state findings, gaps, risks, assumptions, and candidate target patterns.
• Decommissioning inputs that identify dependencies, sequencing considerations, controls, evidence requirements, and conditions for retiring legacy services.
• Architecture artefacts that are structured, evidence-based, and ready for review by Lead Architects and programme governance.
• Practical use of AI-enabled approaches to improve the speed and consistency of discovery and documentation, with outputs checked and refined before use.

Skills and Experience

The role requires a hands-on data architect with experience analysing complex legacy environments, documenting data flows, and supporting cloud transformation or migration activity.

Required experience includes:

• Producing architecture documentation and analysis outputs to agreed standards, with enough clarity and evidence to support review, decision-making, and delivery planning.
• Documenting and analysing complex legacy data feeds, interfaces, schedules, source systems, consumers, business rules, service dependencies, and operational constraints.
• Supporting migration and transformation approaches for AWS-based data services, including data pipelines, storage, processing, integration, security, monitoring, and support considerations.
• Contributing to decommissioning planning for legacy platforms and services, including dependency analysis, migration sequencing, risk identification, and evidence-based retirement decisions.
• Working within architecture governance in a large, multi-supplier environment, including preparing artefacts for design assurance, decision control, risk management, and alignment to enterprise standards.
• Using AI and automation tools to improve the speed and quality of discovery, documentation, analysis, and architecture production, with appropriate checking and evidence.
• Experience across on-premise, cloud, or hybrid environments, with understanding of the practical challenges involved in transforming legacy services to AWS.
• Clear communication and facilitation skills, especially when gathering information, validating findings, and explaining legacy dependencies or transformation impacts.

Ways of Working

The Data Architect is expected to operate as a hands-on contributor within the architecture team, working to the direction of Lead Architects while taking ownership for the quality and completeness of assigned outputs.

Expected ways of working include:

• Working to priorities, standards, expected outputs, review points, and delivery milestones set by the Lead Architects.
• Working collaboratively with architects, engineers, operations, delivery teams, client stakeholders, and third parties to gather information, validate findings, and resolve gaps.
• Identifying incomplete analysis, weak assumptions, unclear decisions, or documentation gaps and raising them early for resolution.
• Communicating findings in plain English, with clear evidence, assumptions, risks, and recommended next steps.
• Maintaining pace and quality where documentation gaps, legacy complexity, or changing priorities create ambiguity.

Use of AI and Automation

The role should use AI and automation to improve the speed, consistency, and quality of discovery, documentation, and analysis. AI should be used as an accelerator, with outputs checked before they are used to support architecture decisions or delivery artefacts.

Expected uses include:

• Accelerating analysis of legacy code, configuration, metadata, schedules, schemas, interface definitions, and existing documentation.
• Supporting feed documentation, dependency mapping, option development, risk identification, and production of architecture artefacts.
• Reusing agreed prompts, templates, patterns, and review checklists provided by Lead Architects or the wider DWIT architecture team.
• Checking, refining, and evidencing AI-generated outputs before they are shared for review or used in architecture artefacts.

What you'll need to succeed

Active SC Clearance is required for this role.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy, and Disclaimers which can be found at hays.co.uk.