Aimpoint DigitalHiring

Databricks Solutions Architect

  • Remote, United States
  • Senior
  • Posted 7 days ago
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In one line

Consulting role for an experienced Databricks architect, working with clients on AI, data engineering and analytics projects; fully remote.

About the role

Multi-disciplinary teams deliver AI, engineering and analytics work for clients around the world, and this role is the technical lead on those engagements. Good work means clients trust the advice and the Databricks partnership grows.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Databricks, PySpark, Scala, Spark SQL, Lakeflow, Databricks Apps, ML, Gen AI
Posted
22 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Lead hands-on delivery of AI, engineering and analytics projects on Databricks for clients
  • Act as the internal Databricks expert and represent the firm to partners and prospects
  • Write and present technical content such as blogs, webinars, whitepapers and demos
  • Support sales and channel work with architecture advice for prospective clients

What they look for

  • Seven or more years of consulting, with strong communication and presentation skills
  • Seven or more years designing and implementing Databricks solutions
  • Five or more years building pipelines in PySpark, Scala or Spark SQL, or in ML and AI engineering
  • Hands-on streaming and front-end work, for example Lakeflow and Databricks Apps
  • Working knowledge of Agent Ready Data architectures and Databricks ML and Gen AI features

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Claude

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ChatGPT

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Muse

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Muse is available in the US only for now.

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How to connect

Questions about this job

Is this a remote job, and where can I work from?

Yes. The posting lists Databricks Solutions Architect as a remote role for candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: seven or more years of consulting, with strong communication and presentation skills; seven or more years designing and implementing Databricks solutions; five or more years building pipelines in PySpark, Scala or Spark SQL, or in ML and AI engineering. Skills it names include Databricks, PySpark, Scala, Spark SQL.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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