Data Architect

Who We Are
Build. Scale. Sustain.
PALO IT is a global technology consultancy dedicated to building digital and sustainable products and services that unlock value across the triple bottom line: people, planet, and profit. We do the right thing, and we do it right. We're proud to be a B Corp-certified company and a World Economic Forum New Champion.
We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, 650+ experts, 50+ nationalities)
We are resilient and independent (0 debt, 100% privately owned)
We are entrepreneurs and passionate experts who invest in what we believe in and work as a collective intelligence
We are positive, courageous, caring, committed, and excellence-driven
About Gen-e2
While the market is still focused on AI-augmenting delivery, we’ve redefined the SDLC to be AI First. With our Gen-e2 framework:
We now generate 95% of the product (code, documentation, infrastructure as code, and design) using GitHub Copilot.
Output quality consistently exceeds that of our best traditional engineering teams.
A centralized product repository gives AI full context of all product artifacts.
Enterprise-grade standards and rules are embedded in prompts and code libraries.
We deliver full products 2–3x faster, raising the bar for engineering excellence.
Your Role
As a Data Architect, you will take a leading role in designing, evolving, and optimizing data architecture for innovative, scalable, and secure solutions. You will collaborate closely with data engineers, analytics teams, business stakeholders, and IT leadership to deliver data strategies that power decision-making and digital transformation.
Key Responsibilities
Strategy & Architecture
Define, evolve, and document the organization’s data architecture aligned with business and IT strategy.
Design enterprise data models (conceptual, logical, and physical), establishing naming conventions and modeling standards.
Assess and recommend data technologies (Data Lake, Lakehouse, Mesh, Warehouse) based on evolving business needs.
Governance, Privacy & Quality
Define policies and standards for data governance, quality, privacy, cataloging, and lineage.
Lead adoption of metadata management and data discovery tools across teams.
Ensure compliance with internal and external data regulations and security requirements.
Data Integration & Design
Architect data integration solutions (ETL/ELT, real-time and batch pipelines).
Ensure interoperability across domains, sources, and consumers using principles such as Data Mesh.
Define integration patterns and data federation frameworks to deliver a 360° data view.
Collaboration & Leadership
Act as a technical reference in data architecture, guiding engineering, analytics, and business teams.
Promote adoption of data models, standards, and best practices across the organization.
Translate business needs into scalable data solutions and facilitate technical-business alignment.
Who You Are