DWIT Technical Architect

Your new company
You will be working for a well-known organisation based in Telford. The requirement will be to be on-site 2 days a week. This is a 6-month contract and inside scope of IR35. Active SC Clearance will be required for this role.

Your new role
Role Purpose The DWIT Data Architect is responsible for producing the detailed analysis, documentation and architecture artefacts needed to support the transformation of existing data feeds to AWS and the planned decommissioning of legacy services.

The role works under the direction of Lead Architects, turning complex legacy information into clear, structured and delivery-ready outputs. It is a hands-on role focused on feed discovery, dependency analysis, documentation quality, option development and practical support to migration and decommissioning planning.

ContextDWIT is undertaking a significant transformation of existing data feeds and legacy services onto AWS. The work requires disciplined discovery, consistent documentation, clear architectural judgement and practical decommissioning plans that can be executed safely across a complex client and supplier landscape.
The Data Architect will work closely with Lead Architects, engineers, delivery teams, operations teams and client stakeholders to understand existing feeds, capture relevant detail, identify gaps and help shape the information needed for AWS transformation and legacy service retirement.

Core Accountabilities The Data Architect is accountable for producing accurate, clear and evidence-based architecture outputs within assigned DWIT work streams, working to the standards and direction set by the Lead Architects.
Accountabilities include:
* Discovering, analysing and documenting existing data feeds, interfaces, dependencies, service ownership, operational constraints and business usage.
* Applying agreed documentation standards, templates and quality expectations so feed analysis is consistent, traceable and usable by engineering, delivery, operations and governance teams.
* Supporting the definition of target-state AWS transformation approaches for existing feeds, including data movement, processing, integration, security, resilience, observability and support considerations.
* Contributing to decommissioning strategies for legacy services by documenting dependencies, migration sequencing, risks, parallel running needs, cutover considerations and retirement evidence.
* Using AI-enabled tools to accelerate feed discovery, documentation, code and metadata analysis, dependency identification and production of draft architecture artefacts, with appropriate review by Lead Architects.
* Capturing assumptions, risks, issues and decisions clearly, ensuring they are visible to Lead Architects and supported by evidence where possible.
* Working with Lead Architects, delivery leads, engineers, operations teams, client stakeholders and third parties to gather information, validate findings and support realistic transformation and decommissioning plans.
* Preparing architecture artefacts for review, including feed documentation, dependency maps, option summaries, impact assessments, risk logs and design inputs.
* Communicating findings clearly and escalating gaps, conflicts, risks or incomplete information that could affect delivery confidence.

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.
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