Senior Domain Architect, Data Management
- Remote, United States
- Senior
- Posted 4 days ago
or apply from Claude / ChatGPT / Muse
Customer-facing architect role helping clients and partners get data management and integration tools into real use, from onboarding through adoption.
About the role
Best suited to someone who has spent years in technical customer success, solution architecture or consulting and likes working with executives as much as with engineers. The work sits between sales, engineering and customer teams.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Python, Model Context Protocol, SaaS, Data Management, Data Integration
- Posted
- 26 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Talk with customers about their business needs, data requirements and the outcomes they want
- Work with pre-sales to hand accounts over cleanly into implementation and beyond
- Review and build integration workflows linking customer systems to the platform
- Create queries and reporting solutions, and coach internal and external people on good practice
- Run knowledge sessions so customer and partner teams can keep going on their own
What they look for
- A technical degree, ideally computer science, computer engineering or IT
- Six or more years in customer-facing work such as technical customer success, solution architecture or consulting
- Comfort engaging people at executive level and documenting solutions and configurations
- Experience with data integration, automation and enterprise SaaS
Nice to have
- Designing agentic workflows with human-in-the-loop controls, ideally in regulated settings
- Familiarity with Model Context Protocol for linking AI agents to enterprise tools
- Python for scripting and automation
A typical week
- Meet customers to map needs and desired outcomes
- Coordinate with solution architects and customer success on onboarding
- Define delivery tasks and check project plans with consulting stakeholders
- Share product feedback with development and product management
- Monitor customer environments and keep up with the product roadmap
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
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.
Apply to Keywordise job jvojubmz7lQuestions 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?
No pay range is stated in the posting.
What experience is needed?
It is a senior role. The posting asks for: a technical degree, ideally computer science, computer engineering or IT; six or more years in customer-facing work such as technical customer success, solution architecture or consulting; comfort engaging people at executive level and documenting solutions and configurations. Skills it names include Python, Model Context Protocol, SaaS, Data Management.
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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