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- Tasks: Design and develop innovative data architectures for complex government programmes.
- Company: Join a leading tech firm with a focus on Data and AI.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Flexible working options available to fit your lifestyle.
- Why this job: Make a real impact in the public sector while advancing your career.
- Qualifications: Experience in data architecture and governance; SC clearance required.
The predicted salary is between 60000 - 80000 £ per year.
Our client is growing their Data and AI Architecture team and is looking for a Senior Data Architect to work across some of the UK's most complex and ambitious government programmes. You'll need SC clearance and deep hands-on experience in enterprise data architecture, data governance, and AI strategy.
Working Patterns and location: Hybrid – 2-3 days on site per week
The Key Responsibilities of a Data Architect:
- Develop enterprise Conceptual, Logical and Physical Data Models conforming to national and international standards.
- Analyse existing client Data Architecture landscapes and define target state solutions.
- Provide Data Architecture oversight to ensure scalable, reliable and maintainable systems.
- Lead and mentor junior Data Architects, Data Analysts, Data Modellers and AI Engineers.
- Lead and manage organisation-wide Data Governance activities and ensure policy adherence.
- Lead Data and AI Proof of Concepts, pilots and experiments for client engagements.
- Act as escalation point for Data Governance, Data Quality and Data Protection issues.
- Contribute to proposal writing, presentations and pre-sales activities to drive opportunity development.
Key Skills required for a Data Architect:
- Deep enterprise Data Architecture experience in industry or a consulting environment.
- Strong experience in data solution architecture including design principles, solution patterns and architecture methodologies.
- Expertise in Data Lake, Lakehouse and Data Mesh architecture.
- Proven ability to manage executive-level stakeholders and build strong client relationships.
- Strong data modelling experience across large, complex organisations including dimensional modelling and data vault.
- Expert knowledge of SQL databases with working knowledge of columnar, NoSQL, predictive analytics and data visualisation.
- Experience of Data Ontology including Data Catalogue, Data Dictionary and Data Lineage.
- Solid understanding of Data Governance principles and platforms such as Collibra and Informatica.
- Industry-recognised certifications such as DAMA CDMP, TOGAF or cloud platform certifications (AWS, GCP, Azure).
- Experience with Observability and FinOps (Financial Operations) practices.
- Good understanding of regulatory and compliance requirements including GDPR.
- Experience of working across multiple deployment models including on-premises, public cloud, private cloud and hybrid.
Part-time opportunities/flexible working is available to suit individual needs.
Data Architect / BI Architect in London employer: Datasource Recruitment
Contact Detail:
Datasource Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect / BI Architect in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. The more you engage with others, the better your chances of landing that Data Architect role.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements. Whether it's data models you've built or governance frameworks you've implemented, having tangible examples can really impress potential employers.
✨Ace the Interview
Prepare for common interview questions related to data architecture and governance. Practice articulating your experience clearly and confidently, and don’t forget to ask insightful questions about the company’s data strategy!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through us not only gives you access to exclusive roles but also connects you with a supportive team ready to help you succeed in your job search.
We think you need these skills to ace Data Architect / BI Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience in enterprise data architecture and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Skills: Don’t forget to showcase your technical skills, especially in areas like SQL databases and data governance. We’re keen to see your expertise in action, so include specific examples of your work that demonstrate your capabilities.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Datasource Recruitment
✨Know Your Data Models
Make sure you brush up on your enterprise data models, especially Conceptual, Logical, and Physical Data Models. Be ready to discuss how you've developed these in past roles and how they align with national and international standards.
✨Showcase Your Governance Knowledge
Since Data Governance is a key responsibility, prepare examples of how you've led governance activities in previous positions. Highlight your understanding of platforms like Collibra and Informatica, and be ready to discuss how you ensure policy adherence.
✨Engage with Stakeholders
Demonstrate your ability to manage executive-level stakeholders by sharing specific instances where you've built strong client relationships. This will show that you can effectively communicate complex data architecture concepts to non-technical audiences.
✨Prepare for Technical Questions
Expect technical questions around SQL databases, Data Lakes, and Data Mesh architecture. Brush up on your knowledge of data modelling techniques and be prepared to discuss your experience with predictive analytics and data visualisation tools.