Sr. Solutions Engineer

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 and AI accessible to everyone.

As a Senior Solutions Engineer on our Emerging Enterprise Digital Native team, you will win new logos across the UK & Ireland by proving, hands-on, that the platform solves their hardest problems.

The impact you will have:

• Partner with an Account Executive and a Senior Solutions Architect to win new digital-native logos across your UK & Ireland territory, and own the technical win.
• Run hands-on evaluations and proofs-of-concept that get founders, CTOs, and lead engineers excited.
• Meet technical buyers on their own ground across modern data engineering, machine learning, and Generative AI, and integrate cleanly with their existing cloud and open-source stack.
• Move at start-up speed: qualify quickly, prove value early, and land in a way that sets up expansion.
• Make the technical and commercial case against competing tools, including cloud data warehouses, open-source stacks, and hyperscaler services.
• Demonstrate our Builder Culture and our principle of "show, not tell", supported by the latest AI tooling, to inspire customers on the art of the possible.
• Contribute to Databricks' technical community by developing customer-facing collateral and joining workshops, hackathons, seminars, and meet-ups.
• Develop technically and in pre-sales, with the goal of operating independently as a Solutions Architect.

What we look for: We are seeking a highly motivated and technically skilled individual to join our UK&I Emerging Enterprise / Digital Native Solutions Engineering team.

Core Technical Qualifications:

• Hands-on experience in technical pre-sales, consultancy, or engineering, ideally with data-native or high-growth technology companies.
• Proficiency in a core programming language such as Python, SQL, Scala, or Java, and a willingness to learn (or existing knowledge of) Spark.
• Familiarity with a core data or AI domain: modern data engineering, streaming, machine learning, or Generative AI.
• Experience with the modern data stack and open-source data tooling, and with at least one major public cloud (AWS, Azure, or GCP).
• Hands-on expertise in designing and delivering proofs-of-concept (PoCs).
• Enthusiasm for building with AI-based development tooling such as Claude Code, Cursor, or Databricks Assistant / Genie.

Pre-Sales & Customer-Facing Skills:

• Proven ability to engage customers in a technical sales capacity: building a narrative, challenging assumptions, finding the real pain, and driving to a clear, tangible outcome.
• Comfort communicating both technical and business value to diverse audiences, from engineers to founders and executives.
• A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams.
• Energized by a high-velocity, new-logo motion and comfortable with ambiguity rather than a fixed account set.

Logistics:

• Ability to commute to the London office regularly.
• Willingness and ability to travel approximately 20-30% of the time across UK&I for customer visits.