Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead and design innovative data, analytics, and AI solutions in a dynamic financial environment.
- Company: Join a large financial enterprise focused on scaling data services and driving innovation.
- Benefits: Competitive salary, visa sponsorship, and opportunities for professional growth.
- Why this job: Make a real impact by leading cutting-edge data initiatives and shaping the future of analytics.
- Qualifications: Proven leadership experience and expertise in data architecture and cloud technologies.
- Other info: Collaborative team environment with a focus on modern cloud architectures and AI-driven insights.
The predicted salary is between 48000 - 72000 £ per year.
I’m supporting a large, complex financial enterprise environment that is scaling its Data Services capability and is now looking to hire an experienced Lead Solution Architect to drive enterprise-wide data, analytics, and AI initiatives. This is a hands-on leadership role where you’ll own solution design end-to-end while leading a team of architects and engineers.
You’ll sit within a data function delivering large-scale platforms and services that underpin analytics, AI, reporting and digital journeys. The role spans modern cloud architectures, real-time data and AI-driven insights, with ownership across design, delivery and technical direction. You’ll lead a team of 4 direct reports, set architectural standards and work closely with senior stakeholders to translate strategy into scalable, secure solutions.
Key Areas of Focus
- Data Modernisation
- Cloud-based data platforms and lakehouse architectures
- Legacy-to-cloud migration and platform modernisation
- Infrastructure as Code (Terraform)
- Real-Time & Operational Data
- Streaming and event-driven architectures
- Kafka / Confluent and low-latency data platforms
- API-led data services and digital reporting
- Operational data stores and indexing
- Cloud analytics platforms (AWS/Azure)
- Databricks, SageMaker, BI tooling
- AI/ML platforms in production environments
- GenAI exposure or roadmap involvement is a strong plus
What They’re Looking For
- Proven experience as a Lead / Senior Solution Architect
- Demonstrable people leadership experience (this is essential)
- Experience designing and owning solutions in large, regulated environments
- Strong stakeholder management and communication skills
- Ability to balance strategic architecture with hands-on delivery
Important: candidates with strong technical skills but no prior team leadership experience will not be suitable for this role.
Salary & Location: Visa sponsorship available for the right candidate.
Lead Solution Architect – Data, Analytics & AI in Glasgow employer: Iceberg
Contact Detail:
Iceberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Solution Architect – Data, Analytics & AI in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space. Attend industry meetups or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your previous projects, especially those involving cloud architectures and data modernisation. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership skills. Be ready to discuss how you've led teams in the past and how you’ve managed stakeholder relationships. We want to see that you can balance hands-on delivery with strategic thinking!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t miss out on the chance to join our team!
We think you need these skills to ace Lead Solution Architect – Data, Analytics & AI in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Solution Architect. Highlight your experience in data modernisation, cloud platforms, and team leadership. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us about your hands-on leadership style and how you've successfully driven data and AI initiatives in the past. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills: Don’t hold back on your technical expertise! Whether it's Terraform, Kafka, or cloud analytics platforms, make sure to detail your experience. We’re looking for someone who can balance strategic architecture with practical delivery.
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 Iceberg
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like cloud platforms and data architectures. Brush up on your knowledge of tools like Terraform, Kafka, and Databricks, as you might be asked to discuss how you've used them in past projects.
✨Showcase Your Leadership Skills
Since this role requires strong people leadership experience, prepare examples that highlight your ability to lead a team. Think about specific situations where you’ve successfully managed a project or guided your team through challenges, and be ready to share these stories.
✨Understand the Business Context
Familiarise yourself with the financial enterprise environment and its unique challenges. Be prepared to discuss how your architectural solutions can drive business value and align with the company's strategic goals, especially in terms of data and AI initiatives.
✨Prepare for Stakeholder Engagement
Expect questions around stakeholder management and communication. Prepare to discuss how you’ve effectively collaborated with senior stakeholders in the past, translating complex technical concepts into understandable terms for non-technical audiences.
