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- Tasks: Develop customer engagement strategies and coach junior team members in data solutions.
- Company: Join Databricks, a leading data and AI company transforming how businesses work with data.
- Benefits: Enjoy comprehensive benefits, remote work options, and opportunities for professional growth.
- Why this job: Be a champion for innovation and creativity while making a real impact in the data landscape.
- Qualifications: Experience in Data Science and strong technical skills in AI and cloud platforms required.
- Other info: Dynamic environment with a commitment to diversity and inclusion.
The predicted salary is between 80000 - 100000 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.
Senior Solutions Architect (DS/ML/GenAI/LLM) employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solutions Architect (DS/ML/GenAI/LLM)
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meet-ups, webinars, or even local events related to data science and AI. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Data Science and AI. This will not only demonstrate your expertise but also give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to solutions architecture. Think about how you can articulate your experience with Databricks and similar platforms to highlight your fit for the role.
✨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 genuinely interested in joining our mission at Databricks.
We think you need these skills to ace Senior Solutions Architect (DS/ML/GenAI/LLM)
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 want to see how you can inspire others with your knowledge and experience in the field!
Tailor Your Application: Make sure to customise your application to highlight your relevant skills and experiences that align with the Senior Solutions Architect role. We love seeing how your unique background fits into our mission at Databricks.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your key achievements and qualifications stand out without unnecessary fluff!
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 get you started on this exciting journey with 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 and AI. Be ready to discuss your hands-on experience with tools like Python, SQL, and any relevant cloud platforms. The interviewers will want to see how you can apply your knowledge to real-world scenarios.
✨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 succeed.
✨Be Ready to Discuss Complex Solutions
You’ll likely be asked about your experience in architecting end-to-end Data & AI solutions. Prepare to explain your approach to designing complex proofs-of-concept and how you’ve tackled challenges in previous projects. Use specific examples to illustrate your problem-solving skills.
✨Emphasise Your Leadership Skills
Since this role involves coaching junior team members, be prepared to talk about your mentoring experiences. Share how you’ve helped others develop their technical and customer-facing skills, and why you believe leadership is important in a collaborative environment.