AWS Lead Data / Data Architect in London

AWS Lead Data / Data Architect in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the rebuild of a modern data platform and manage data structure consistency.
  • Company: Dynamic business undergoing a high-impact data transformation in London.
  • Benefits: Flexible working, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with opportunities to mentor and lead data professionals.
  • Why this job: Shape the organisation's data foundation and drive impactful analytics initiatives.
  • Qualifications: 5+ years in data modelling or architecture with strong Power BI skills.

The predicted salary is between 70000 - 90000 £ per year.

Location: London (1/2 days per week)

Own the rebuild of a modern data platform from the ground up. We’re working with a business in the middle of a high-impact data transformation—moving away from legacy constraints towards a scalable, cloud-first architecture.

We are seeking a Lead Data Modeller to define and manage the organisation’s data structure and ensure consistency across reporting, analytics, and AI use cases. This role is critical in establishing a single source of truth for key business metrics, working closely with data, technology, and business teams to ensure data is accurate, well-defined, and easy to use.

  • Design, develop, and maintain enterprise-wide data models (dimensional/star schemas)
  • Collaborate with analysts and BI teams to improve reporting accuracy and performance
  • Lead data governance, including data cataloguing and documentation
  • Map and analyse existing data flows to identify inconsistencies
  • Mentor and support data analysts and analytics engineers
  • Work closely with data engineers and data scientists to support advanced analytics and AI initiatives

Proven experience in data modelling or data architecture (typically 5+ years)

Experience with modern data platforms and governance tools

Advanced Power BI and Excel skills

Experience building or managing semantic layers

Strong stakeholder management and communication skills

Experience mentoring or leading data professionals

Exposure to AI or data science use cases

Familiarity with cloud-based data platforms

Opportunity to define and shape the organisation’s data foundation

Collaborative and forward-thinking data environment

AWS Lead Data / Data Architect in London employer: Halian | Managed Services, Recruitment Agency & Contract Staffing

As an employer, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to lead transformative data initiatives. Located in the vibrant city of London, our team enjoys flexible working arrangements, professional development opportunities, and the chance to shape the future of our data architecture while working alongside talented professionals in a forward-thinking environment. Join us to be part of a meaningful journey towards building a scalable, cloud-first data platform that drives impactful business decisions.
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Contact Detail:

Halian | Managed Services, Recruitment Agency & Contract Staffing Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AWS Lead Data / Data Architect in London

✨Tip Number 1

Network like a pro! Reach out to your connections in the data and tech space. Attend meetups or webinars related to data architecture and AWS. You never know who might have a lead on that perfect role!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data models, governance strategies, and any AI projects you've worked on. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on your stakeholder management and communication skills. Be ready to discuss how you've collaborated with teams in the past to drive data initiatives forward.

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.

We think you need these skills to ace AWS Lead Data / Data Architect in London

Data Modelling
Data Architecture
Cloud-based Data Platforms
Data Governance
Power BI
Excel
Semantic Layer Management
Stakeholder Management
Communication Skills
Mentoring
Data Flow Analysis
Collaboration
Advanced Analytics
AI Use Cases

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data Modeller role. Highlight your experience with data modelling, cloud platforms, and any relevant projects you've led. We want to see how you can contribute to our data transformation journey!

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 your background aligns with our goals at StudySmarter. Don’t forget to mention your experience in mentoring and collaboration, as these are key for us.

Showcase Your Technical Skills: We’re looking for someone with advanced Power BI and Excel skills, so make sure to include specific examples of how you've used these tools in your previous roles. If you've worked with semantic layers or data governance tools, shout about it!

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. Plus, we love seeing applications come through our own platform!

How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing

✨Know Your Data Models

Make sure you brush up on your knowledge of data modelling techniques, especially dimensional and star schemas. Be ready to discuss how you've designed and maintained these models in previous roles, as this will show your expertise and relevance to the position.

✨Showcase Your Collaboration Skills

Since this role involves working closely with various teams, prepare examples of how you've successfully collaborated with analysts, BI teams, and data engineers. Highlight any specific projects where your teamwork led to improved reporting accuracy or performance.

✨Demonstrate Your Governance Experience

Be prepared to talk about your experience with data governance, including cataloguing and documentation. Share specific instances where you've implemented governance practices that ensured data consistency and reliability across an organisation.

✨Prepare for Technical Questions

Expect technical questions related to cloud-based data platforms and advanced analytics. Brush up on your knowledge of tools like Power BI and Excel, and be ready to discuss how you've used them to support AI initiatives or improve data flows in past projects.

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