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- Tasks: Lead the design of secure, cloud-based data platforms and oversee delivery.
- Company: Dynamic tech firm focused on innovative data solutions.
- Benefits: Up to £700 per day, hybrid working, and a chance to shape data architecture.
- Other info: Opportunity for career growth in a collaborative and security-conscious environment.
- Why this job: Make a real impact in the government sector with cutting-edge data technologies.
- Qualifications: SC Clearance required; experience in data architecture and stakeholder engagement essential.
The predicted salary is between 50000 - 70000 £ per year.
6-Month contract - Inside IR35 - up to £700 per day London based - hybrid working - 2/3 days onsite. Candidates must hold current and active SC Clearance.
We are seeking a Data Architect to lead the design and delivery of secure, cloud-based data platforms for the client. The role combines architectural strategy with delivery oversight - shaping target-state architectures while ensuring they are implemented pragmatically within regulated, security-conscious environments. This position will suit an architect who can move comfortably between traditional enterprise data approaches and modern patterns such as lakehouse, streaming, data mesh and ML-enabled platforms - and who values clarity, governance and technical rigour.
What experience you'll bring:
- Leadership: Recent experience as a Lead Data Architect / Data Solutions Architect or equivalent senior role. Ability to build relationships and operate at a senior stakeholder level with clients. Demonstrated ownership of end-to-end data platform design and delivery. Experience operating in consulting, systems integration, or delivery partner roles. Experience working within the Government sector strongly preferred.
- Modern and Enterprise Data Architecture: Practical architecture experience across both established enterprise approaches and modern data patterns, including: Azure data systems (must have), Oracle / AWS experience is ideal, knowledge of Databricks and Snowflake is ideal, experience of large-scale data migration programmes, data lake and lakehouse architectures, event-driven and streaming architectures, Data Mesh and/or Data Fabric principles (applied pragmatically, not theoretically), data product-oriented design approaches.
- Data Engineering & Platform Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/CD for data platforms. Understanding of how ML/AI workloads integrate into data architectures. Hands-on coding ability (e.g. Python, Java, R) is beneficial but not required.
- Governance, Security and Data Management: Experience leading a discovery phase for a data transformation programme. Experience designing within structured architectural governance frameworks. Familiarity with government assurance processes and design authorities. Strong understanding of data governance frameworks and metadata management. Experience designing for GDPR and UK public sector data protection requirements. Appreciation of infrastructure considerations and security boundaries in regulated cloud environments.
- Stakeholder Engagement: Ability to influence architectural direction at senior stakeholder level. Clear and structured communicator - able to explain trade-offs and risks. Experience leading and mentoring architects and engineers. Comfortable operating within programme governance structures. Familiarity with Agile delivery models (SAFe, Scrum, Kanban).
Data Architect (SC Cleared) employer: Advanced Resource Managers Ltd
Contact Detail:
Advanced Resource Managers Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect (SC Cleared)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving cloud-based data platforms or modern data architectures. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by researching common questions for Data Architects and practising your responses. Be ready to discuss your experience with Azure, data governance, and how you’ve tackled challenges in past roles. Confidence is key!
✨Apply Through Us!
We’ve got your back! Make sure to apply for the Data Architect position through our website. We’re here to help you land that dream job, so don’t hesitate to reach out if you need any support during the process.
We think you need these skills to ace Data Architect (SC Cleared)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with cloud-based data platforms and any relevant SC Clearance. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of your leadership in data architecture and how you've successfully navigated both traditional and modern data approaches.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with Azure, Oracle, or AWS. If you’ve worked with Databricks or Snowflake, let us know! We love seeing candidates who can bridge the gap between theory and practical application.
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’s super easy!
How to prepare for a job interview at Advanced Resource Managers Ltd
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in both traditional and modern data architecture patterns. Brush up on Azure data systems, data lakes, and streaming architectures. Be ready to discuss how you’ve applied these concepts in real-world scenarios.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading data transformation programmes and mentoring teams. Think about how you’ve influenced architectural decisions at a senior level and be ready to share those stories.
✨Understand Governance and Security
Familiarise yourself with the governance frameworks and security requirements relevant to the public sector. Be prepared to discuss how you’ve designed solutions that comply with GDPR and other data protection regulations.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in a clear and structured manner. You’ll need to articulate trade-offs and risks effectively, so consider doing mock interviews to refine your communication skills.