DatabricksHiring

Solutions Architect, Retail

  • Remote, United States
  • Senior
  • Posted 6 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Pre-sales and post-sales architect for retail accounts, leading technical strategy from discovery to production and helping customers get more from the platform.

About the role

The role owns architecture talks and platform adoption for assigned accounts, with live coding and design reviews part of the work. Depth in one technical area is expected and valued on the team.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Python, SQL, AWS, Azure, GCP, Snowflake, Azure Synapse
Posted
29 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Own the technical strategy for accounts from discovery through production and usage growth
  • Lead architecture talks and design scalable solutions across data engineering, ML and real-time analytics
  • Advise customer architects, engineering leads and directors
  • Win competitive technical evaluations with custom-built solutions
  • Pick an emerging specialization and become the team's go-to person in it
  • Coordinate specialists and partners to cover complex customer needs

What they look for

  • Strong Python and SQL, with live coding, debugging and solution building shown in interviews
  • Deep knowledge of distributed data systems: pipelines, streaming, lakehouse patterns and cloud-native platforms
  • Ability to lead architecture talks with senior stakeholders, including whiteboarding and tradeoff analysis
  • Production deployments on AWS, Azure or GCP, covering infrastructure, security and governance
  • A record of growing platform adoption and consumption inside accounts

Nice to have

  • Platform certifications for data engineering, ML or the platform itself
  • Experience with Snowflake, AWS native services or Azure Synapse
  • Background at a data or AI company or a cloud provider
  • Industry knowledge in financial services, healthcare, retail or media

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
Apply to Keywordise job 5yeejjzvcm
How to connect

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, debugging and solution building shown in interviews; deep knowledge of distributed data systems: pipelines, streaming, lakehouse patterns and cloud-native platforms; ability to lead architecture talks with senior stakeholders, including whiteboarding and tradeoff analysis. Skills it names include Python, SQL, AWS, Azure.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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