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- Tasks: Engage with clients to showcase our Data Intelligence Platform and solve complex data challenges.
- Company: Join Databricks, a leader in data science and analytics innovation.
- Benefits: Competitive salary, travel opportunities, and a culture of creativity and continuous improvement.
- Why this job: Be part of a mission to revolutionise how businesses work with data.
- Qualifications: Experience in Data Science, AI, or Machine Learning; coding skills in Python, Java, or Scala.
- Other info: Dynamic role with opportunities for professional growth and community engagement.
The predicted salary is between 48000 - 84000 £ per year.
At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build 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 an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges.
You will be reporting to the Manager, Field Engineering.
The impact you will have:
- Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
- Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
- Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
- Become a Big Data Analytics advisor on aspects of architecture and design.
- Support your customers by authoring reference architectures, how-tos, and demo applications.
- Develop both technically and in pre-sales, with the goal of becoming an independently operating Solutions Architect.
What we look for:
- Experience, technical customer-facing and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or Data Engineering.
- You will be working in any of the following vertical sectors: Real-money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality, Manufacturing, Energy and Industrials, Travel, Transport and Logistics, Financial Services and Insurance, Public Sector, Consumer Package Goods (CPG) / Retail.
- Any experience in Pre-sales or post-sales experience working with external clients.
- Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
- Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset.
- Code in a core programming language such as Python, Java, or Scala.
- Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform (AWS, GCP, Azure).
- Experience diving deeper into solution architecture and design.
- The role requires travel to customer sites in the UK, travelling approx. 20-30% of the time.
Nice to have: Databricks Certification
Pre-sales Senior Technical Solutions Engineer (Data and AI) in London employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pre-sales Senior Technical Solutions Engineer (Data and AI) in London
✨Tip Number 1
Get to know the company inside out! Research Databricks, their culture, and their products. This way, when you chat with them, you can show off your knowledge and passion for what they do.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral!
✨Tip Number 3
Prepare for those technical interviews! Brush up on your coding skills in Python, Java, or Scala, and be ready to discuss your experience with Data Science and AI. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Databricks team!
We think you need these skills to ace Pre-sales Senior Technical Solutions Engineer (Data and AI) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Pre-sales Senior Technical Solutions Engineer. Highlight your experience in Data Science, AI, and any relevant customer-facing roles. We want to see how your skills align with our mission at Databricks!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're excited about this role and how you can contribute to our customer-centric culture. Be genuine and let your personality come through – we love creativity!
Showcase Your Technical Skills: Don’t forget to highlight your programming skills in Python, Java, or Scala. Mention any experience with Big Data Analytics and cloud platforms like AWS, GCP, or Azure. We’re looking for someone who can dive deep into technical solutions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re proactive – a quality we value highly at Databricks!
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 Data Science, Generative AI, and Big Data Analytics. Be ready to discuss how you've used programming languages like Python or Java in real-world scenarios, as well as your experience with cloud platforms like AWS or Azure.
✨Understand the Customer's Needs
Before the interview, research Databricks and its clients. Think about how you can align your skills with their needs. Prepare examples of how you've solved customer pain points in the past and be ready to discuss how you can add value to their business.
✨Showcase Your Communication Skills
As a Pre-sales Senior Technical Solutions Engineer, you'll need to communicate complex ideas clearly. Practice explaining technical concepts in simple terms. You might even want to role-play with a friend to get comfortable with answering potential customer questions.
✨Be Ready for Hands-On Evaluation
Expect to demonstrate your technical skills during the interview. Familiarise yourself with Databricks' platform and be prepared to showcase how you would approach a hands-on evaluation or a proof-of-concept. This is your chance to shine and show how you can integrate with the wider cloud ecosystem!