Databricks

Databricks

Posted via Greenhouse

Pre-sales Senior Technical Solutions Engineer (Data and AI)

Posted Aug 5, 2026

Role at a glance

Salary
Not Disclosed
Location
United Kingdom - London
Work arrangement
On-site
Employment
Full-time
Experience
Experience, technical customer-facing and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or...

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Role Summary

AI-generated

The Field Engineering role supports customers in the UK by demonstrating how the Databricks Data Intelligence Platform can address complex data challenges. Working with an Account Executive and Senior Solutions Architect, the role develops customer relationships, delivers technical evaluations and solutions, and helps build the Databricks technical community.

What You'll Do

  • Form successful relationships with clients throughout the assigned territory in collaboration with an Account Executive and Senior...
  • Conduct hands-on evaluations and Spark programming integrations with the wider cloud ecosystem and third-party applications
  • Engage in workshops, seminars, and meet-ups to contribute to the Databricks technical community
  • Advise customers on Big Data Analytics architecture and design
  • Author reference architectures, how-tos, and demo applications
  • Travel to customer sites in the UK approximately 20–30% of the time

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Technical customer-facing experience; background in data science, generative AI, machine learning, data warehousing, or data engineering; pre-sales or post-sales experience with external clients; ability to code in Python, Java, or Scala; knowledge of a Big Data Analytics domain and a major public cloud platform; experience with solution architecture and design.

Required

  • Technical customer-facing experience
  • Background in Data Science, Generative AI, Machine Learning, Data Warehousing or Data Engineering
  • Pre-sales or post-sales experience working with external clients
  • Ability to code in a core programming language such as Python, Java, or Scala
  • Knowledge of a core Big Data Analytics domain
  • Understanding of a major public cloud platform such as AWS, GCP, or Azure
  • Experience diving deeper into solution architecture and design

Preferred

  • Databricks Certification

Original job description

Content provided by the employer

Req ID - FEQ427R59

Location: London

Recruiter: Kanwal Matharu 

At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build 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 an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that 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!

You will be reporting to the Manager, Field Engineering.

The impact you will have: 

  • Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
  • Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
  • Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
  • Become a Big Data Analytics advisor on aspects of architecture and design.
  • Support your customers by authoring reference architectures, how-tos, and demo applications.
  • Develop both technically and in pre-sales, with the goal of becoming an independently operating Solutions Architect.

What we look for:

  • Experience, technical customer-facing and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or Data Engineering.  
  • You will be working in the following any of the following vertical sectors: 
    • Real-money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality.
    • Manufacturing, Energy, Utilities and Industrials
    • Travel, Transport and Logistics
    • Financial Services and Insurance
    • Public Sector
    • Consumer Package Goods (CPG) / Retail
  • Any experience in Pre-sales or post-sales experience working with external clients
  • Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
  • Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset.
  • Code in a core programming language such as Python, Java, or Scala.
  • Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform (AWS, GCP, Azure).
  • Experience diving deeper into solution architecture and design.
  • The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time
  • Nice to have: Databricks Certification

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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Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.