A data and AI platform services companyHiring

Resident Solutions Architect (Databricks)

  • USD 80 to 90 per hour
  • Remote, United States
  • Senior
  • Posted 6 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Consulting architect role on the Databricks platform, working directly with customers on data engineering and AI projects; fully remote in the US with some travel.

About the role

Suits someone who has spent years in data engineering or platform work and likes being hands-on with customers. Delivery is the job: designs get built, debugged and tuned, not just presented.

At a glance

Pay
USD 80 to 90 per hour
Remote scope
Remote, United States
Seniority
Senior
Skills
Databricks, Python, Scala, Apache Spark, AWS, Azure, GCP, CI/CD
Posted
29 Oct 2026
Last checked
1 Nov 2026

What you will do

  • Join customer projects of short to medium length across data engineering, data science and cloud
  • Write reference architectures and take big data and AI use cases into production
  • Code hands-on in Python or Scala and work with Spark on distributed compute
  • Handle escalations and operational problems, and feed product feedback back to engineering

What they look for

  • Eight or more years in data engineering, analytics or platform roles
  • Strong coding in Python or Scala and comfort with Spark
  • Hands-on with at least one of AWS, Azure or GCP, ideally more
  • Production experience with CI/CD, MLOps and data architectures
  • Client-facing consulting skills: scoping work, explaining technical ideas, working with customer teams

Nice to have

  • Familiarity with more than one cloud provider

A typical week

  • Consulting inside customer teams, delivering real implementations rather than strategy decks
  • Building and debugging solutions, optimising performance and resolving operational issues
  • Adapting to different industries, workloads such as ETL, streaming and AI/ML, and cloud platforms
  • Helping customers change how they approach data and AI, not just shipping code

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 4ig2sjxnzr
How to connect

Questions about this job

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

The posting lists it as remote for people in the United States.

What does this job pay?

The posting states USD 80 to 90 per hour.

What experience is needed?

It is a senior role. The posting asks for: eight or more years in data engineering, analytics or platform roles; strong coding in Python or Scala and comfort with Spark; hands-on with at least one of AWS, Azure or GCP, ideally more. Skills it names include Databricks, Python, Scala, Apache Spark.

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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