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Databricks

Senior Solutions Engineer (Presales, Technical, Data and AI)

Databricks · London, United Kingdom

Posted 27 days ago

or apply directly on Databricks's site. We never take the application ourselves.

Is this posting real?

This role has been open
27 days
Databricks's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of Databricks's roles list one
Ghost-job risk at Databricks
low
0 stale, 25 reposted of 879 open
Hiring momentum
1112 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Databricks's own greenhouse board since 2026-08-03. Full hiring picture for Databricks.

About this role

As a Senior Solutions Engineer at Databricks, you will lead technical engagements with customers, focusing on discovery, solution design, and platform demonstrations. Your role involves building proofs-of-concept and managing technical relationships to drive platform adoption, while collaborating with Account Executives to develop strategies for expanding usage of the Databricks platform.

Our read on this posting2.8out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Databricks as an employer.

What you need

  • 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
  • Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code
  • Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
  • Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent
  • Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
  • Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics

Nice to have

  • Databricks certification or experience with the Databricks Platform
  • Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
  • Background at a data/AI company, cloud provider, or technical consulting firm

Worth weighing

  • No specific salary or benefits details provided
  • Live coding is a required part of the interview process
  • The role involves significant customer interaction, which may require strong interpersonal skills

Summarised from Databricks's posting. Read the full original.

Listed by Databricks on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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