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- Tasks: Design and develop innovative data architectures for complex government programmes.
- Company: Join a leading consultancy focused on Defence and Public Sector projects.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with flexible working options available.
- Why this job: Make a real impact in the public sector while advancing your career in data architecture.
- Qualifications: Experience in enterprise data architecture and strong stakeholder management skills.
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. If you're ready to step into a high-impact consultancy role in the Defence and Public Sector space, this one is worth a look.
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.
Additional Skills (not essential):
- 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.
- Prior consulting experience working on client-facing government or public sector programmes.
Our client is committed to providing a diverse and inclusive workplace and welcomes applications from all backgrounds. Part-time opportunities/flexible working is available to suit individual needs.
You will be required to hold a minimum of SC Clearance. If you do not hold an active SC Clearance, please familiarise yourself with the vetting process before applying.
Data Architect employer: Datasource Recruitment
Contact Detail:
Datasource Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data architecture. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience and skills.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your past projects, especially those involving data governance and AI strategy. We want to see how you’ve tackled complex problems and delivered results, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Data Architect role!
We think you need these skills to ace Data Architect
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 this role and how your background makes you a perfect fit. We love seeing enthusiasm and a personal touch.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills, especially in data governance and AI strategy. Mention specific tools and methodologies you’ve used, as we’re keen on seeing your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Datasource Recruitment
✨Know Your Data Architecture Inside Out
Make sure you brush up on your enterprise data architecture knowledge. Be ready to discuss your hands-on experience with data models, governance, and AI strategy. Prepare examples of how you've tackled complex data challenges in previous roles.
✨Showcase Your Leadership Skills
As a Senior Data Architect, you'll be leading and mentoring others. Think of specific instances where you've guided junior team members or managed projects. Highlight your ability to build strong relationships with stakeholders and how you've navigated executive-level discussions.
✨Familiarise Yourself with Compliance and Governance
Since the role involves data governance and compliance, ensure you're well-versed in principles like GDPR and platforms such as Collibra. Be prepared to discuss how you've implemented governance frameworks in past projects and the impact it had on data quality.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about SQL databases, data lakes, and architecture methodologies. Brush up on your knowledge of data modelling techniques and be ready to explain your thought process behind designing scalable and maintainable systems.