Senior Solutions Architect (DS/ML/GenAI/LLM)

• 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.
• You will 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.

• 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.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - 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 Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.