At a Glance
- Tasks: Develop customer engagement strategies and create tailored data solutions.
- Company: Join Databricks, a leader in data and AI innovation.
- Benefits: Enjoy competitive perks, including remote work and professional growth opportunities.
- Other info: Collaborative culture with a focus on diversity and inclusion.
- Why this job: Be a key player in transforming how businesses leverage data.
- Qualifications: Experience in Data Science and strong programming skills required.
The predicted salary is between 80000 - 100000 £ 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.
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.
Senior Solutions Architect (DS/ML/GenAI/LLM) in London employer: Databricks
Databricks is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor others, all while working with cutting-edge data analytics solutions. The collaborative environment encourages creativity and teamwork, making it a rewarding place for those passionate about technology and client engagement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 might even lead to 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 skills! When discussing your past projects, frame them in a way that highlights your problem-solving abilities and how you’ve made an impact. Remember, it’s all about showcasing your journey and results.
✨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 Senior 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 for the Senior Solutions Architect role. Highlight your experience in Data Science, ML, and AI, and show how your skills align with our mission at Databricks.
Showcase Your Technical Skills:We want to see your hands-on experience! Include specific examples of projects where you've architected end-to-end Data & AI solutions, especially using Generative AI concepts. This will help us understand your technical prowess.
Demonstrate Customer Engagement:Since this role is customer-facing, share instances where you've successfully engaged with clients. Talk about how you’ve guided discussions and communicated technical value, as this is key to our customer-centric approach.
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
✨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 how you've architected end-to-end solutions and any hands-on experience you have with tools like Dataiku or Spark.
✨Showcase Your Customer-Centric Mindset
Prepare examples that highlight your ability to engage with customers and build relationships. Think about times when you’ve guided discussions to clear outcomes or challenged assumptions. This role is all about being a trusted advisor, so demonstrate your passion for helping clients achieve their goals.
✨Practice Your Presentation Skills
Since you'll be leading workshops and seminars, it’s crucial to practice how you present complex information. Try explaining your past projects or solutions to a friend or family member who isn’t in tech. This will help you simplify your language and ensure you can communicate effectively with diverse audiences.
✨Be Ready to Discuss Leadership Experience
As a senior role, they’ll want to know about your experience in coaching and mentoring others. Prepare specific examples of how you’ve helped junior team members develop their skills. Highlight your leadership style and how you foster a collaborative environment within your team.