At a Glance
- Tasks: Lead the design and delivery of secure, cloud-based data platforms.
- Company: Join a dynamic consultancy focused on innovative data solutions.
- Benefits: Competitive daily rate, hybrid working, and opportunities for professional growth.
- Other info: Collaborate with senior stakeholders and influence architectural direction.
- Why this job: Shape the future of data architecture in a secure environment.
- Qualifications: Must have SC clearance and experience in data architecture.
The predicted salary is between 63000 - 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: You should have 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. You understand where traditional patterns remain appropriate - and where modern approaches add measurable value.
- 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) in London 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) in London
✨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 a CV just can’t.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with data platforms, cloud solutions, and any cool projects you've worked on. Let them see how you can add value to their team.
✨Tailor Your Approach
Every company is different, so make sure you understand their needs and culture. When you’re in an interview, relate your skills and experiences directly to what they’re looking for. It shows you’ve done your homework and are genuinely interested.
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We think you need these skills to ace Data Architect (SC Cleared) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your recent experience as a Lead Data Architect and any relevant projects that showcase your ability to design and deliver secure, cloud-based data platforms.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share your passion for data architecture and how your background aligns with our needs, especially your experience with Azure data systems and modern data patterns.
Showcase Your Leadership Skills: Since this role involves leading architectural strategy, make sure to emphasise your leadership experience. Talk about how you've built relationships with senior stakeholders and led teams in previous roles to deliver successful data solutions.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. This way, we can easily track your application and ensure it gets the attention it deserves!
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. Being able to discuss how these concepts apply to real-world scenarios will show your depth of knowledge.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading data transformation programmes and mentoring teams. Be ready to discuss how you've influenced architectural decisions at a senior level and built relationships with stakeholders.
✨Understand Governance and Security Requirements
Familiarise yourself with the specific governance frameworks and security protocols relevant to the government 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.