Req ID: FEQ427R358
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. 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, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data and AI challenges. Digital native companies are born in the cloud and build data and AI products at their core, which makes them among the most technical and demanding buyers we work with. 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. You'll work with a collaborative, customer-focused team that values innovation and creativity. Join us in our quest to change how people work with data and make a better world!
Reporting to the Manager, Field Engineering.
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. Show the Data Intelligence Platform working against their real data and workloads, not slideware.
- Meet technical buyers on their own ground across modern data engineering (Spark, Delta, streaming), 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, which focuses on winning new digital-native and high-growth technology customers. This role is based in the London office, with regular collaboration across the UK&I region.
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 (e.g. RAG, fine-tuning, LLMOps).
- 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.
Nice to Have:
- Experience selling to or working at start-ups, scaleups, or ISVs.
- Databricks or other relevant Cloud/Data certifications.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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.
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Skills Required
- Hands-on experience in technical pre-sales, consultancy, or engineering
- Proficiency in Python, SQL, Scala, or Java
- Willingness to learn or existing knowledge of Apache Spark
- Familiarity with modern data engineering, streaming, machine learning, or Generative AI
- Experience with modern data stack and open-source data tooling
- Experience with at least one major public cloud: AWS, Azure, or GCP
- Hands-on expertise designing and delivering proofs of concept
- Ability to engage customers in a technical sales capacity
- Ability to communicate technical and business value to technical and executive audiences
- Ability to commute regularly to the London office
- Willingness and ability to travel approximately 20–30% across the UK and Ireland
- Experience selling to or working at start-ups, scaleups, or ISVs
- Databricks or other relevant cloud/data certifications
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
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Leave & Time Off Breadth — Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
