# Sr. Solutions Engineer

**Company**: Databricks
**Location**: London
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8675639002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_960514c6-195

## Description

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.

## Skills

### Required
- Python
- SQL
- Scala
- Java
- Spark
- modern data engineering
- streaming
- machine learning
- Generative AI
- AWS
- Azure
- GCP

### Nice to have
- experience selling to or working at start-ups, scaleups, or ISVs
- Databricks or other relevant Cloud/Data certifications

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8675639002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)