Database Architect

Co-Builder / No-Code Architect (Part-Time & Equity/Profit-Share Opportunity)

The Mission: I am looking for a technical architect to help cross the finish line on a project we're creating
, a data-driven intelligence platform built to provide high-level context for executive-level talent mapping and role stability analysis. We aren't just building a database; we are building an operational backbone that differentiates between data-derived signals and human validation.

The Stack:

• Airtable: Our central engine for complex logic and data architecture.
• Softr: Our frontend portal for client interaction and search delivery.
• Automation: Sophisticated data-enrichment workflows (experience with complex API integrations is a must).

The Role: This isn’t a "clock-in, clock-out" job. I need a builder who enjoys the "last 10%" of product development—polishing the user experience, hardening the logic, and ensuring the technical guardrails are ironclad. You will be responsible for:

• Refining the Discovery Tier search logic and public/private data visibility rules.
• Optimizing workflow tracking (from "New" to "Hired") within the Softr environment.
• Implementing manual overrides and expert-review layers to ensure data integrity.

Who You Are:

• You have a full-time gig but have "tinkered" yourself into becoming an expert builder in your free time.
• You understand that we improve the probability of success
  ; we don't just predict outcomes.
• You are looking for a project with skin in the game. For the right person, I am open to a profit-sharing arrangement as we scale the portal.

Interested? Send me a DM with a brief overview of the most complex Airtable/Softr build you’ve handled.

Target Job Titles to Search/Tag

Since you need someone with specific architectural skills, search for these titles on Linked In:

• No-Code Architect / Developer: These are specialists who specifically live in the Airtable/Softr/Zapier ecosystem.
• Operations Engineer: Often found in startups, these people build the internal tools that make companies run.
• Product Operations Manager: They understand the "why" behind the data and are usually very proficient in No-Code tools.
• Analytics Engineer: If you want someone who is particularly good at the "Tenure Context" and data-signal part of Criteris.
• Technical Product Manager: Great for the "Expert Review" and "Human Validation" layers you want to implement.