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- Tasks: Build client relationships and provide technical expertise in Data Science.
- Company: Leading data analytics platform provider with a focus on innovation.
- Benefits: Competitive salary, travel opportunities, and a dynamic work environment.
- Why this job: Join a cutting-edge team and shape the future of data intelligence.
- Qualifications: Experience in technical pre-sales, big data analytics, and programming skills.
- Other info: Exciting opportunities for travel across the UK and EMEA.
The predicted salary is between 43200 - 72000 £ per year.
A leading data analytics platform provider is seeking a highly skilled professional to join their team in London. This role focuses on building relationships with clients, providing technical expertise in Data Science, and guiding them in using the company's Data Intelligence Platform.
Ideal candidates will have:
- a background in technical pre-sales,
- experience with big data analytics,
- strong programming skills.
The position requires commuting to the London office and offers opportunities for travel across the UK and EMEA.
Presales AI Solutions Architect — London employer: Databricks Inc.
Contact Detail:
Databricks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Presales AI Solutions Architect — London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with big data analytics and technical pre-sales. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms to get comfortable discussing your technical expertise and how it relates to the role.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. It shows initiative and helps us get to know you better.
We think you need these skills to ace Presales AI Solutions Architect — London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in technical pre-sales and big data analytics. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can help our clients succeed with our Data Intelligence Platform. Keep it engaging and personal!
Showcase Your Technical Skills: Since this role requires strong programming skills, make sure to mention any relevant languages or tools you’re proficient in. We love seeing practical examples of how you've used these skills in past roles!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our awesome team!
How to prepare for a job interview at Databricks Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your technical knowledge, especially around Data Science and big data analytics. Be prepared to discuss specific tools and technologies you've used, as well as how they can be applied to the company's Data Intelligence Platform.
✨Showcase Your Relationship-Building Skills
Since this role involves building relationships with clients, think of examples from your past experiences where you've successfully engaged with clients. Highlight your communication skills and how you can translate complex technical concepts into layman's terms.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Prepare to discuss how you would approach a client’s challenge using the company’s platform, demonstrating both your technical expertise and your strategic thinking.
✨Be Ready to Discuss Travel Flexibility
As the role involves travel across the UK and EMEA, be prepared to talk about your availability and willingness to travel. Show enthusiasm for meeting clients in person and how you believe it enhances relationship-building.
