DatabricksHiring

Solutions Architect, Retail

  • Remote, United States
  • Senior
  • Posted 6 days ago
In one line

Senior architect role owning the technical strategy for retail accounts, from first discovery through production and growth in platform use.

About the role

Suits someone with a developing specialty, such as streaming, machine learning or governance, who can lead design talks with customer architects and engineering leads. Live coding and debugging are part of the interview.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Python, SQL, AWS, Azure, GCP, Streaming architectures, Lakehouse patterns, Data governance
Posted
29 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Own the technical strategy for your accounts from discovery to production and consumption growth
  • Lead architecture discussions and design scalable solutions across data engineering, ML and real-time analytics
  • Build custom demos to win competitive deals and show the platform's difference
  • Coordinate specialists and partners on complex customer needs, and pass structured feedback to product

What they look for

  • Strong Python and SQL, with live coding and debugging skills
  • Deep knowledge of distributed data systems: pipelines, streaming, lakehouse patterns and cloud-native platforms
  • Experience running production workloads on AWS, Azure or GCP, including security and governance
  • A track record of growing platform adoption inside accounts, plus a computer science or engineering degree or equivalent

Nice to have

  • Certifications in data engineering, ML or the platform
  • Familiarity with Snowflake, AWS native services or Azure Synapse

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Questions about this job

Is this job fully remote, and from where?

Yes, it is listed as remote, aimed at 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: strong Python and SQL, with live coding and debugging skills; deep knowledge of distributed data systems: pipelines, streaming, lakehouse patterns and cloud-native platforms; experience running production workloads on AWS, Azure or GCP, including security and governance. Skills it names include Python, SQL, AWS, Azure.

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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