Pre-sales Senior Technical Solutions Engineer (AI/ML - Digital Native Business) x2

Databricks · London, United Kingdom · Field Engineering - Other · listed July 5, 2026

The shape of it

Seniority
Senior
Where
Not stated
Requirements listed
13
Length
724 words

In the posting’s own words

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create 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!

What it asks for · 13

  • Experience, technical customer-facing and with a background ideally in Data Science / Generative AI / Machine Learning, but will also consider Data Warehousing or Data Engineering.
  • You will be working in the following any of the following vertical sectors:
  • Entertainment, Media, Telco and/or Hospitality.
  • Financial Services and Insurance (FSI)
  • Retail / CPG (Consumer Package Goods)
  • 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 PySpark , 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

What the job covers

  • 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 the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

Tools and skills named

Data
  • Databricks5×
  • Spark2×
  • Data warehouse
  • Experimentation
Cloud & infra
  • AWS
  • Azure
  • GCP
Languages
  • Java
  • Python
  • Scala
Go to market
  • Solutions architecture2×
Models & research
  • Machine learning

Words the posting leans on

  • data9×
  • customers7×
  • technical5×
  • clients4×
  • experience4×
  • platform4×
  • solutions4×
  • value4×
  • architecture3×
  • core3×
  • advisor2×
  • applications2×
  • areas2×
  • aspect2×
  • big data2×
  • business value2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.