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- Tasks: Engage customers and influence stakeholders with innovative data analytics solutions.
- Company: Leading data and AI company based in London.
- Benefits: Competitive salary, travel opportunities, and a collaborative work culture.
- Why this job: Shape the future of data solutions while coaching the next generation of talent.
- Qualifications: Experience in Data Science, Python proficiency, and knowledge of AWS or Azure.
- Other info: Exciting travel across the UK and EMEA for customer engagement.
The predicted salary is between 54000 - 84000 £ per year.
A leading data and AI company in London is seeking a professional with strong technical pre-sales expertise. The ideal candidate will develop customer engagement strategies, influence stakeholders on data analytics solutions, and coach junior team members.
Applicants should have hands-on experience in Data Science, proficiency in Python, and familiarity with big data analytics technologies like AWS and Azure. This role involves travel across the UK and EMEA for customer visits, offering a unique opportunity in a collaborative environment.
Senior GenAI & Data Solutions Architect employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior GenAI & Data Solutions Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space. Attend industry events or webinars where you can meet potential employers and showcase your expertise in data analytics solutions.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Be ready to discuss your hands-on experience with Python and big data technologies like AWS and Azure. We want to see how you can influence stakeholders and develop customer engagement strategies!
✨Tip Number 3
Don’t underestimate the power of a good follow-up! After interviews or networking events, drop a quick thank-you email. It shows your enthusiasm and keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior GenAI & Data Solutions Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your technical pre-sales expertise and any hands-on experience in Data Science, Python, and big data analytics technologies like AWS and Azure.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've developed customer engagement strategies or influenced stakeholders in previous positions.
Showcase Your Collaborative Spirit: Since this role involves coaching junior team members, mention any past experiences where you’ve worked in a collaborative environment. We love seeing how you can contribute to our team culture!
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 in our London office.
How to prepare for a job interview at Databricks
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python and big data analytics technologies like AWS and Azure. Be ready to discuss specific projects where you've applied these skills, as this will show your hands-on experience.
✨Engage with Customer Scenarios
Prepare to talk about how you would develop customer engagement strategies. Think of examples where you've influenced stakeholders or coached junior team members, as this will demonstrate your pre-sales expertise and collaborative spirit.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios related to data analytics solutions. This is your chance to showcase your analytical thinking and how you approach problem-solving in a real-world context.
✨Plan for Travel Discussions
Since the role involves travel across the UK and EMEA, be prepared to discuss your flexibility and willingness to travel. Highlight any previous experiences that required travel and how you managed your time effectively.
