DWIT Technical Architect in Telford

DWIT Technical Architect in Telford

Telford Full-Time 55000 - 65000 £ / year (est.) Home office (partial)
Hays

At a Glance

  • Tasks: Transform legacy data feeds to AWS and document architecture artefacts.
  • Company: Well-known organisation in Telford with a collaborative environment.
  • Benefits: 6-month contract, on-site work 2 days a week, and hands-on experience.
  • Other info: Active SC Clearance needed; great opportunity for career growth.
  • Why this job: Make a real impact by modernising data systems and utilising cutting-edge technology.
  • Qualifications: Experience in data architecture and cloud transformation required.

The predicted salary is between 55000 - 65000 £ per year.

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.

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 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.

What you'll need to succeed: Active SC Clearance is required for this role.

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.

DWIT Technical Architect in Telford employer: Hays

Join a vibrant secondary school that prioritises excellence in education and fosters a supportive community for both students and staff. As the Head of Mathematics, you will benefit from a competitive salary, ongoing professional development opportunities, and a collaborative work culture that encourages innovation and growth. This role not only allows you to lead a dedicated team but also to make a significant impact on student achievement in a welcoming environment.

Hays

Contact Details:

Hays Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land DWIT Technical Architect in Telford

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hays!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like DWIT Technical Architect at Hays.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hays.

Apply Directly through Our Website

When you find a suitable opening like DWIT Technical Architect at Hays, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace DWIT Technical Architect in Telford

Data Analysis
Documentation Standards
AWS Transformation
Dependency Analysis
Migration Planning
Architecture Documentation
AI-enabled Tools

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Hays, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hays. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Hays

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hays!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.