Scale Solution Engineer

Databricks · Heredia, Costa Rica · Customer Success Operations · listed September 11, 2026

The shape of it

Seniority
Entry level
Experience asked
1+ years
Where
Not stated
Requirements listed
3
Length
502 words

In the posting’s own words

At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Scale Solution Engineer, you play a critical role in advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production, by building and working with AI-augmented workflows that enable one engineer to deliver quality guidance at scale.

What it asks for · 3

  • Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks Data + AI Platform.
  • 1+ years of experience in a technical role, preferably in the Data, AI, or Cloud field.
  • Bonus: Experience in consulting or pre-sales roles, or with agentic solutions.

Tools and skills named

Cloud & infra
  • AWS
  • Azure
  • GCP
Data
  • Databricks3×
Languages
  • Python
  • SQL

Words the posting leans on

  • data7×
  • customers6×
  • experience4×
  • technical4×
  • data platform3×
  • excellent3×
  • solutions3×
  • ai-augmented workflows2×
  • cloud2×
  • engineer2×
  • knowledge2×
  • lifecycle2×
  • pre-sales2×
  • scale2×
  • skills2×

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 September 12, 2026 and last changed by Databricks on September 11, 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.