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- Tasks: Design and build data models to meet strategic organisational needs.
- Company: Join a forward-thinking team at Minerva, focused on innovative data solutions.
- Benefits: Competitive pay, flexible work arrangements, and opportunities for professional growth.
- Why this job: Make a real impact by shaping data architecture in a dynamic environment.
- Qualifications: Experience in data architecture and strong communication skills required.
- Other info: Be part of a new scrum team with exciting projects ahead.
The predicted salary is between 48000 - 72000 £ per year.
Max Supplier Rate: £595p/d via Umbrella
Clearance Required: SC
Duration: 6 months
Location: Telford with 2 days/week in office
Job Description:
SAS Enterprise Guide for table creation, SAS Studio V and SAS RTENG to build the SA registration network, SAS Viya 3.5 tools for risk assessment of new SA registrations. The POC leveraged data from 20 different sources, most of which were already housed in the Minerva Oracle database. Previously, some data had to be transferred manually. However, the automated file transfers described in this Solution Design Document (SDD) will now move that data to the SAS platform using approved Enterprise Architecture (EA) integration patterns, with the initial phase, targeted for delivery in April 2026. This role will form part of a new scrum team within Minerva Platform to develop and deliver the Ingestion and Risking within the SAS Platform including IDP.
Data Architect Responsibilities:
- A data architect designs and builds data models to fulfil the strategic data needs of the organisation, as defined by chief data architects.
- Design, support and provide guidance for the upgrade, management, decommission and archive of data in compliance with data policy.
- Provide input into data dictionaries.
- Define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture.
Skills at Working Level:
- Communicate across disciplines: Effectively engage with both technical and non-technical stakeholders, manage team dynamics, and represent the team externally.
- Analyze and synthesize data: Profile data sources and present clear insights to support usage.
- Apply data governance: Understand governance needs, assure data solutions, and recommend compliance measures.
- Model data: Explain data modelling principles, create and maintain models, and reverse-engineer from live systems.
- Implement data standards: Develop standards, assess compliance, and analyze breaches.
- Manage metadata: Use repositories for complex tasks and maintain accurate metadata.
- Solve problems: Investigate issues, consult experts, implement remedies, and suggest preventive actions.
- Design data architecture: Translate business problems into data designs aligned with enterprise standards.
Skills at Awareness Level:
- Communicate data: Recognize the importance of aligning data with user needs and create basic visuals.
- Innovate with data: Be aware of new tools and opportunities for data innovation.
- Think strategically: Understand the strategic context of your work and support planning administratively.
Data Architect in Telford employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Telford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, especially those involving SAS tools. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your thought process when designing data models and how you’ve tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Architect in Telford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with SAS tools and data architecture principles, as these are key for us. Use specific examples that showcase your skills in data modelling and governance.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data architecture and how your background aligns with our needs. Don’t forget to mention your ability to communicate across disciplines, as this is crucial for our team dynamics.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex data issues in the past. We love candidates who can investigate problems and implement effective solutions, so make sure to highlight these experiences!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Experis UK
✨Know Your Tools
Familiarise yourself with SAS Enterprise Guide, SAS Studio V, and SAS Viya 3.5 tools. Be ready to discuss how you've used these tools in past projects, especially in relation to data modelling and risk assessment.
✨Understand Data Governance
Brush up on data governance principles and be prepared to explain how you ensure compliance in your data solutions. Highlight any experience you have with data policies and standards.
✨Communicate Effectively
Practice explaining complex data concepts in simple terms. You’ll need to engage with both technical and non-technical stakeholders, so showcasing your communication skills is key.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled data-related issues in the past. Discuss your approach to investigating problems and implementing effective solutions, as this will demonstrate your analytical abilities.
