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- Tasks: Develop customer engagement strategies and create customised solutions using our Lakehouse Platform.
- Company: Join Databricks, a leader in data science and analytics with a customer-centric culture.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact by helping customers tackle complex data challenges creatively.
- Qualifications: Experience in data science, machine learning, and strong problem-solving skills required.
- Other info: Be part of a collaborative team that values innovation and continuous improvement.
The predicted salary is between 43200 - 72000 £ per year.
At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer‑centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user‑friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.
You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You will work with a collaborative, customer‑focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.
Join us in our quest to change how people work with data and make a better world!
The impact you will have:
- Develop customer engagement strategies in partnership with...
Senior Technical Solutions Architect (DS/ML/GenAI/LLM) in London employer: Databricks Inc.
Contact Detail:
Databricks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Technical Solutions Architect (DS/ML/GenAI/LLM) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repo showcasing your projects. This gives potential employers a taste of what you can do, especially in DS/ML.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to technical solutions. We all know that confidence is key, so rehearse until you feel ready to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission.
We think you need these skills to ace Senior Technical Solutions Architect (DS/ML/GenAI/LLM) in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data science and analytics shine through. We love seeing candidates who are genuinely excited about using technology to solve complex problems and help customers succeed.
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Technical Solutions Architect role. Highlight your experience with DS, ML, GenAI, and LLM, and how it aligns with our mission at Databricks. We want to see how you can contribute to our customer-centric approach!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, making it easy for us to see why you’re a great fit for the team. Remember, we appreciate clarity just as much as creativity!
Apply Through Our Website: We encourage you to submit your application directly through our website. This way, you’ll ensure that your application gets to the right people and stands out in our system. Plus, it’s super easy to do!
How to prepare for a job interview at Databricks Inc.
✨Know Your Tech Inside Out
As a Senior Technical Solutions Architect, you'll need to showcase your expertise in data science, machine learning, and generative AI. Brush up on the latest trends and technologies in these areas, and be ready to discuss how they can be applied to solve real-world problems. Prepare examples of past projects where you've successfully implemented these technologies.
✨Understand Their Platform
Familiarise yourself with Databricks' Lakehouse Platform before the interview. Understand its features, benefits, and how it stands out from competitors. This will not only show your interest but also allow you to discuss how you can leverage the platform to address customer challenges effectively.
✨Customer-Centric Mindset
Since the role is heavily focused on customer engagement, think about how you can demonstrate a customer-centric approach. Prepare to share experiences where you've developed strategies or solutions that directly benefited clients. Highlight your ability to listen to customer needs and translate them into actionable insights.
✨Showcase Your Collaborative Spirit
Databricks values collaboration, so be prepared to discuss how you've worked within teams to drive innovation and creativity. Share specific examples of how you've collaborated with cross-functional teams to deliver successful projects, and emphasise your ability to foster a positive team environment.
