At a Glance
- Tasks: Help customers tackle data challenges using cutting-edge AI solutions.
- Company: WinsAbove, a collaborative tech company based in London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Regular commuting to London offices with some travel across the UK.
- Why this job: Join a dynamic team and make a real impact in the data and AI space.
- Qualifications: Experience in solutions architecture, coding in Python or SQL, and big data analytics.
The predicted salary is between 60000 - 80000 £ per year.
WinsAbove is looking for a Solutions Architect to join their collaborative team in London. The successful candidate will demonstrate technical expertise to help customers solve their data challenges using the Databricks Data Intelligence Platform. A strong focus on customer relationships and the ability to work cross-functionally is essential.
The ideal applicant will have experience in solutions architecture, coding in Python or SQL, and knowledge in big data analytics. Regular commuting to London offices and some travel across the UK is required.
Retail/CPG Solutions Architect — Data & AI Leader employer: WinsAbove
WinsAbove is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work with cutting-edge technologies in data and AI. Our commitment to building strong customer relationships ensures that every team member plays a vital role in driving impactful solutions, making your work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Retail/CPG Solutions Architect — Data & AI Leader
✨Tip Number 1
Network like a pro! Reach out to current employees at WinsAbove on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your expertise in data challenges, especially using Databricks. This will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to solutions architecture and big data analytics. We can even do mock interviews together to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have insider tips on what the hiring team is looking for.
We think you need these skills to ace Retail/CPG Solutions Architect — Data & AI Leader
Some tips for your application 🫡
Show Your Technical Skills:Make sure to highlight your experience with solutions architecture and coding in Python or SQL. We want to see how you can leverage these skills to tackle data challenges, so don’t hold back!
Emphasise Customer Relationships:Since building strong customer relationships is key for us, share examples of how you've successfully collaborated with clients in the past. This will show us that you understand the importance of communication and teamwork.
Tailor Your Application:Take a moment to customise your application for this role. Mention specific experiences that relate to the Databricks Data Intelligence Platform and big data analytics. We love seeing candidates who take the time to connect their background to our needs!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at WinsAbove
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python and SQL. Be ready to discuss how you've used these languages in past projects, and think of specific examples where you've solved data challenges. This will show WinsAbove that you can hit the ground running.
✨Showcase Your Customer Relationship Skills
Since this role emphasises customer relationships, prepare to share experiences where you've successfully collaborated with clients. Think about how you’ve built trust and delivered solutions that met their needs. This will highlight your ability to work cross-functionally.
✨Understand the Databricks Platform
Familiarise yourself with the Databricks Data Intelligence Platform. If possible, try to get hands-on experience or at least read up on its features and benefits. Being able to discuss how it can solve data challenges will impress the interviewers.
✨Plan for Travel and Commuting
Since the job requires regular commuting to London and some travel across the UK, be prepared to discuss your flexibility and willingness to travel. Showing that you're ready for this aspect of the role can set you apart from other candidates.
