PropHero is an AI & data-powered platform simplifying property investment. Backed by global VCs and founded by McKinsey alumni, we're growing fast and building the future of property investment. Join a transparent, respectful and adaptable environment, surrounded by ambitious people working together to make property investment as simple as investing in shares or ETFs.

The Challenge
As PropHero has grown, so have our data and systems. We're now looking for a Data Architect to define and lead the evolution of our operational data architecture, creating a single source of truth for the company's key data. You'll combine architecture, technical leadership and hands-on execution, transforming how we model, protect, integrate and migrate data without disrupting day-to-day operations.
This is a high-impact role where you'll define the architecture and lead its implementation domain by domain.

Key responsibilities:

• Design PropHero's common data model, defining core business entities, their relationships and a unique, consistent identity across domains.




• Define the data architecture and governance model, establishing who can access which data and which controls are needed to guarantee its integrity and security.
• Design the migration strategy between systems, avoiding "big bang" migrations and ensuring the business can continue operating throughout the process.
• Lead domain-by-domain migrations, until each key piece of data has a single system of record.
• Work directly with different teams to define data ownership, integrations, responsibilities and transition roadmaps.
• Design reconciliation, validation and rollback mechanisms to measure migration progress and react quickly when something goes wrong.
• Establish best practices for database evolution, including versioned migrations, CI/CD and automated controls before production.
• Act as a hands-on Tech Lead and Data Architect: you'll have ownership of the technical what and how, working alongside a squad with deep

📌 Data Architect (Madrid)
🏢 Prophero
📍 Madrid