Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead architectural design and ensure coherence across multiple product teams.
- Company: Dynamic data engineering company in the UK focused on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team driving AI-driven development with cutting-edge data technologies.
- Qualifications: 8+ years in data pipeline design and proficiency in Snowflake and dbt.
- Other info: Collaborative environment with transformative initiatives and career advancement.
The predicted salary is between 54000 - 84000 £ per year.
A data engineering company in the United Kingdom is seeking a Product Area Lead Architect to provide hands-on architectural leadership across multiple product teams. The role involves ensuring architectural coherence, managing dependencies, and facilitating AI-driven development workflows.
Candidates should have over 8 years of experience in data pipeline design, strong proficiency in tools like Snowflake and dbt, and a collaborative mindset. This position offers the chance to work with cutting-edge data technologies and drive transformative initiatives.
Lead Data Platform Architect – AI-Driven, Cross-Team in London employer: Accelerant
Contact Detail:
Accelerant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Architect – AI-Driven, Cross-Team in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data pipeline design and tools like Snowflake and dbt. 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 architectural leadership skills. Be ready to discuss how you've managed dependencies and facilitated workflows in previous roles. We want to see that collaborative mindset in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Platform Architect – AI-Driven, Cross-Team in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 8+ years of experience in data pipeline design. We want to see how you've tackled challenges and led projects, so don’t hold back on the details!
Be Specific About Tools: Mention your proficiency with tools like Snowflake and dbt. We love seeing candidates who can demonstrate their hands-on experience with these technologies, so give us examples of how you've used them.
Collaborative Mindset is Key: Since this role involves working across multiple product teams, let us know about your collaborative experiences. Share stories that showcase your ability to manage dependencies and facilitate teamwork.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Accelerant
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Snowflake and dbt. Prepare to discuss your hands-on experience with these technologies and how you've used them to drive AI-driven development workflows.
✨Showcase Your Architectural Leadership
Be ready to share specific examples of how you've provided architectural leadership in previous roles. Highlight instances where you ensured architectural coherence across teams and managed dependencies effectively.
✨Emphasise Collaboration Skills
Since this role requires a collaborative mindset, think of examples that demonstrate your ability to work cross-functionally. Discuss how you’ve facilitated teamwork and communication among product teams to achieve common goals.
✨Prepare for Technical Questions
Expect technical questions that assess your knowledge of data pipeline design and architecture. Brush up on key concepts and be prepared to solve problems on the spot, showcasing your analytical thinking and problem-solving skills.
