At a Glance
- Tasks: Develop customer engagement strategies and create tailored solutions using our innovative Lakehouse Platform.
- Company: Join Databricks, a leading data and AI company transforming how businesses work with data.
- Benefits: Enjoy competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Be a key player in revolutionising data analytics and making a real impact on businesses.
- Qualifications: Experience in Data Science and strong programming skills are essential.
- Other info: Collaborative culture with a focus on diversity and inclusion.
The predicted salary is between 72000 - 108000 ÂŁ 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 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
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).
Pre‑Sales & Customer‑Facing Skills
- 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 democratise 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 Spark™, 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
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
Compliance
If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sr. Solutions Architect (DS/ML/GenAI/LLM) in London employer: Databricks
Contact Detail:
Databricks 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! Reach out to current employees at Databricks on LinkedIn and ask about their experiences. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by understanding Databricks' Lakehouse Platform inside out. Be ready to discuss how your skills in Data Science and AI can solve real customer challenges. Show them you’re not just a fit, but the perfect fit!
✨Tip Number 3
Practice your storytelling! When discussing your past projects, frame them in a way that highlights your problem-solving skills and customer-centric mindset. Make it relatable and engaging!
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your excitement about the role can leave a lasting impression. Plus, it shows you’re genuinely interested in joining the team!
We think you need these skills to ace Sr. Solutions Architect (DS/ML/GenAI/LLM) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Data Science, Machine Learning, and Generative AI. We want to see how your skills align with our mission at Databricks!
Showcase Your Technical Skills: Don’t hold back on showcasing your hands-on experience with programming languages like Python or SQL. Mention any relevant tools you’ve used, especially in the context of big data analytics and cloud platforms.
Demonstrate Customer Engagement: We love seeing candidates who can engage with customers effectively. Share examples of how you've influenced stakeholders or guided discussions to clear outcomes in your previous roles.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
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 and AI. Be ready to discuss your hands-on experience with tools like Python, SQL, and any relevant cloud platforms. Prepare to explain how you've architected end-to-end solutions and be ready to dive into specifics about Generative AI concepts.
✨Understand the Customer's Needs
Before the interview, research Databricks and its Lakehouse platform. Think about how you can help customers tackle their data challenges. Be prepared to share examples of how you've engaged with clients in a pre-sales capacity and how you’ve guided discussions to achieve clear outcomes.
✨Showcase Your Leadership Skills
As a senior role, they’ll want to see your ability to mentor and coach others. Prepare examples of how you've helped junior team members develop their skills. Highlight any experiences where you’ve led workshops or seminars, as this shows your commitment to fostering a collaborative environment.
✨Be Ready for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think through potential customer scenarios and how you would approach them using the Databricks platform. This will demonstrate your critical thinking and customer-centric mindset, which are key for this role.