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- Tasks: Lead the design of secure, cloud-based data platforms and oversee delivery.
- Company: Join a leading consultancy with a focus on innovative data solutions.
- Benefits: Competitive daily rate, hybrid working, and opportunities for professional growth.
- Other info: Must hold active SC clearance; ideal for those passionate about modern data practices.
- Why this job: Shape the future of data architecture in a dynamic, security-conscious environment.
- Qualifications: Experience as a Lead Data Architect and strong stakeholder engagement skills.
The predicted salary is between 50000 - 70000 £ per year.
Data Architect 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).
Python Data Analysis/ Modeller in London employer: Advanced Resource Managers Limited
Contact Detail:
Advanced Resource Managers Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Analysis/ Modeller in London
✨Tip Number 1
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 applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. Create a GitHub profile or a personal website where you can showcase your work. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data architecture. Think about how you would approach real-world problems and be ready to discuss your thought process. We can help you with mock interviews if you need a bit of practice!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for? Get your application in!
We think you need these skills to ace Python Data Analysis/ Modeller in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your recent roles as a Data Architect and any relevant projects that showcase your expertise in 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 specific examples of how you've successfully led data transformation programmes and engaged with senior stakeholders in the past.
Showcase Your Technical Skills: Don’t forget to mention your experience with Azure, Oracle, AWS, and any other relevant technologies. If you’ve worked with modern data patterns like lakehouse or data mesh, make sure to include that too!
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 don’t miss out on any important updates during the process.
How to prepare for a job interview at Advanced Resource Managers Limited
✨Know Your Data Architecture Inside Out
Make sure you brush up on both traditional and modern data architecture patterns. Be ready to discuss your experience with Azure, Oracle, and AWS, as well as concepts like data mesh and lakehouse architectures. This will show that you can navigate between different approaches effectively.
✨Showcase Your Leadership Skills
Prepare examples of how you've led data platform design and delivery in the past. Highlight your ability to build relationships with senior stakeholders and how you've influenced architectural decisions. This is crucial for demonstrating your fit for a lead role.
✨Understand Governance and Security Requirements
Familiarise yourself with data governance frameworks and UK public sector data protection requirements. Be ready to discuss how you've designed solutions within structured governance frameworks and your understanding of security boundaries in regulated environments.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll need to articulate trade-offs and risks clearly to non-technical stakeholders. Being a structured communicator will set you apart and show that you can operate effectively within programme governance structures.