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- Tasks: Shape the future of retail with innovative data strategies and mentor junior architects.
- Company: Leading data and AI company committed to diversity and innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the retail sector.
- Qualifications: Experience in consumer data, cloud architecture, and programming languages like Python or Java.
- Other info: Collaborative environment focused on solving complex problems.
The predicted salary is between 48000 - 72000 £ per year.
A leading data and AI company is seeking a Lead/Senior Solutions Architect to reshape the future of retail through innovative data strategies. The role focuses on building authentic relationships with stakeholders, providing mentorship to junior architects, and collaborating with account executives on strategic planning.
Candidates should have a solid understanding of consumer data and cloud architecture, and be proficient in programming languages like Python or Java. A commitment to diversity and a passion for solving complex problems is essential.
Remote Lead Data & AI Solutions Architect – Retail & CPG in London employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Lead Data & AI Solutions Architect – Retail & CPG in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving data strategies or AI solutions. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions related to data architecture and problem-solving. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 Remote Lead Data & AI Solutions Architect – Retail & CPG in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data & AI Solutions Architect. Highlight your experience with consumer data, cloud architecture, and any programming languages like Python or Java that you’re proficient in.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve complex problems in the past. We love seeing real examples of your innovative thinking!
Emphasise Collaboration: Since this role involves building relationships and mentoring, make sure to mention any experience you have in collaborating with stakeholders or guiding junior team members. We value teamwork and communication!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Databricks
✨Know Your Data Inside Out
Make sure you have a solid grasp of consumer data and cloud architecture. Brush up on the latest trends in retail and CPG, and be ready to discuss how your experience aligns with innovative data strategies.
✨Showcase Your Mentorship Skills
Since the role involves mentoring junior architects, think of examples where you've successfully guided others. Be prepared to share your approach to fostering growth and collaboration within a team.
✨Prepare for Technical Questions
Expect to dive deep into programming languages like Python or Java. Practise coding challenges or system design questions that could come up during the interview to demonstrate your technical prowess.
✨Emphasise Your Problem-Solving Passion
Highlight your commitment to solving complex problems. Share specific instances where you've tackled challenging issues in previous roles, especially those related to data and AI in retail.
