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- Tasks: Lead the rebuild of a modern data platform and define the organisation’s data structure.
- Company: Dynamic company in London focused on high-impact data transformation.
- 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 future of data architecture and make a real impact on business metrics.
- Qualifications: 5+ years in data modelling or architecture with strong Power BI and Excel 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 employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
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
✨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 job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. This is your chance to demonstrate your expertise in building scalable, cloud-first architectures. Make sure to highlight any experience with AI initiatives too!
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder management skills. Be ready to discuss how you've collaborated with analysts and BI teams in the past. We want to see how you can lead data governance and ensure consistency across reporting.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed. Tailor your application to highlight your experience with modern data platforms and your ability to mentor others. Let’s get you that Lead Data Modeller role!
We think you need these skills to ace AWS Lead Data / Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data Modeller. Highlight your experience with data modelling, cloud platforms, and any relevant projects that showcase your skills in building modern data architectures.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data transformation. Share specific examples of how you've led data initiatives or improved reporting accuracy in previous roles to show us what you can bring to the table.
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, emphasise your stakeholder management and communication skills. Mention any experiences where you successfully collaborated with analysts, engineers, or business teams to achieve common goals.
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 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 the past, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so be prepared to share examples of how you've successfully collaborated with analysts, BI teams, and data engineers. Highlight any specific projects where teamwork led to improved reporting accuracy or performance.
✨Demonstrate Your Governance Knowledge
Data governance is key for this position. Familiarise yourself with data cataloguing and documentation practices. Be ready to discuss how you've implemented governance frameworks in previous roles and the impact it had on data consistency and quality.
✨Prepare for Technical Questions
Expect technical questions related to cloud-based data platforms and advanced analytics. Brush up on your Power BI and Excel skills, and be ready to explain how you've used these tools to support data initiatives. If you have experience with AI use cases, make sure to highlight that too!