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- Tasks: Develop customer engagement strategies and coach junior architects on data solutions.
- Company: Join Databricks, a leading data and AI company transforming how businesses work with data.
- Benefits: Comprehensive benefits, competitive salary, and opportunities for professional growth.
- Why this job: Be a champion for innovation and creativity in the data analytics space.
- Qualifications: Experience in data science, technical pre-sales, and strong programming skills required.
- Other info: Dynamic role with travel opportunities and a focus on collaboration across teams.
The predicted salary is between 48000 - 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.
The impact you will have:
- Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
- Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.
- Influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy.
- Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
- Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
- Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.
What we look for:
We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Professional Business Team, which focuses on supporting and growing customers in the UK&I. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London-based team.
Core Technical Qualifications:
- Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI.
- Demonstrated ability to architect end-to-end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc.
- Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark.
- Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).
- Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs).
- Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions.
- Experience in the full pre-sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives).
- A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams.
Seniority & Leadership:
- Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer-facing skills.
Logistics:
- Ability to commute to the London office regularly.
- Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits.
Nice to Have:
- Databricks or other relevant Cloud/Data certifications.
About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow.
Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
Sr. 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 Sr. Solutions Architect (DS/ML/GenAI/LLM) in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meet-ups, webinars, or even local tech events. The more you engage, the better your chances of landing that dream job at Databricks.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your previous work in data science and AI. When you can demonstrate your expertise, it’ll make you stand out to potential employers.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by doing mock sessions with friends or mentors. Focus on articulating your thought process and how you tackle complex data challenges—this is key for a role like Sr. Solutions Architect.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the Databricks team and our mission to change how people work with data.
We think you need these skills to ace Sr. Solutions Architect (DS/ML/GenAI/LLM) in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and AI shine through! We want to see how your passion aligns with our mission at Databricks to make data accessible and impactful.
Tailor Your Experience: Make sure to highlight your relevant experience in technical pre-sales or consultancy. We’re looking for specific examples of how you’ve tackled complex data challenges and created solutions that drive results.
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 how you fit into our collaborative and innovative culture.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity at Databricks.
How to prepare for a job interview at Databricks Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical qualifications listed in the job description. Brush up on your knowledge of Data Science, Machine Learning, and Generative AI concepts. Be ready to discuss specific tools like Dataiku or Spark, and how you've used them in past projects.
✨Showcase Your Customer-Centric Mindset
Prepare examples that highlight your ability to engage with customers and build relationships. Think about times when you’ve influenced stakeholders or guided discussions to clear outcomes. This role is all about being a trusted advisor, so demonstrate your customer-first approach.
✨Demonstrate Your Coaching Skills
Since mentoring junior team members is part of the role, come prepared with examples of how you’ve coached others in the past. Share specific instances where your guidance led to improved performance or successful project outcomes.
✨Be Ready for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to architect solutions. Practice articulating your thought process clearly, especially when discussing complex data challenges and how you would address them using the Databricks Lakehouse platform.
