Data Architect
Posted 18 Sep 2026
Advertised as “AI Native Data Architect”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 10+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Field of studyApplied Mathematics, Computer Science, Mechatronics Engineering, Software Engineering (or related)
Study levelBachelor's
CertificationsAzure Data Engineer Associate
Quick answer: what is this job?
PALO IT is hiring a Data Architect in CDMX to design, evolve, and optimize data architecture for innovative, scalable, and secure solutions. The role sits in a technology consultancy of 450+ experts across 10 countries, requiring strong expertise in data architecture and integration.
Who We Are
Building the AI-first frontier enterprise.
We are a global technology consultancy with a trademarked, AI-first approach Gen-e2™. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.
-
We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities).
-
We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.
-
We are robust and resilient (100% independent, 0 debt, founded 2009).
-
We are AI-native professionals who invest in what we believe and work as a collective intelligence.
-
We are positive, courageous and deliver at the leading edge.
What does a Data Architect do at PALO IT?
As a Data Architect at PALO IT, you will play a crucial role in shaping data strategy and architecture, carrying the following responsibilities:
-
Strategy & Architecture: Define and document the organization’s data architecture aligned with business and IT strategy. Design enterprise data models and assess data technologies based on evolving business needs.
-
Governance, Privacy & Quality: Implement policies for data governance, ensuring compliance with data regulations and facilitating the adoption of metadata management tools.
-
Data Integration & Design: Architect solutions for data integration, ensuring interoperability across domains and delivering a comprehensive data view.
-
Collaboration & Leadership: Act as a technical reference for teams, promoting best practices and translating business needs into scalable data solutions.