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- Tasks: Lead the rebuild of a modern data platform and manage 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, strong Power BI skills, and experience with cloud platforms.
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
Data Architect / Technology Lead 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 Data Architect / Technology Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, especially those who might know about opportunities at companies you're interested in. A friendly chat can sometimes lead to a referral, which is gold in the job market.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects or any relevant work you've done. This gives potential employers a tangible sense of what you can bring to the table, especially in a role focused on building modern data platforms.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've led data governance initiatives or collaborated with teams to improve reporting accuracy. We want to see how you can fit into our collaborative environment!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our forward-thinking data team.
We think you need these skills to ace Data Architect / Technology Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data modelling, cloud platforms, and any relevant projects that showcase your skills in building scalable architectures.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data transformation and how your background aligns with our mission at StudySmarter. Be specific about your achievements and how they relate to the job.
Showcase Your Technical Skills: Don’t forget to mention your advanced Power BI and Excel skills! We want to see how you’ve used these tools in past roles, especially in relation to data governance and analytics. Concrete examples will make your application stand out.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
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 specific projects where your teamwork led to improved reporting accuracy or performance.
✨Demonstrate Your Governance Knowledge
Data governance is key for this position. Familiarise yourself with best practices in data cataloguing and documentation. 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 about modern data platforms and governance tools. Brush up on your Power BI and Excel skills, and be ready to explain how you've used these tools to support advanced analytics and AI initiatives in your past work.