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Palo It

IA Native Data Architect

PALO IT BrazilHybrid · Brazil
Staff · FullTime · Technology
POSTED 27 AUGVERIFIED 7H AGO
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Quick answer: what is this job?

PALO IT is hiring a Data Architect in Sao Paulo to design, evolve, and optimize innovative, scalable, and secure data architectures. The role sits in a technology consultancy of 400+ experts across 9 countries and requires extensive experience in data architecture and cloud-based solutions.

Who We Are

Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach, Gen-e2™. We redefine how enterprises build digital products and transform their organizations with AI. We are 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 (9 countries, 400+ 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 take a leading role in designing and evolving the organization’s data architecture, helping shape innovative data strategies that power decision-making and digital transformation. Your key responsibilities include:

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.

What experience do you need for this role?

You're a strong fit for the Data Architect role if you have:

Education

Bachelor’s degree in Mechatronics Engineering, Applied Mathematics, Software Engineering, Computer Science, or related fields.

Preferred certifications: Microsoft Certified, Azure Data Engineer Associate, or relevant cloud and data architecture certifications.

Required Experience

10+ years of experience in data engineering.

3+ years designing cloud-based data architectures (Azure, AWS, or GCP).

2+ years in data architecture, enterprise data modeling, or data governance.

Experience leading data model design for various architectures including Data Warehouse and Data Lake.

Participation in multi-source data integration projects (on-premise, cloud, external sources).

In-depth knowledge of data governance frameworks including quality, cataloging, privacy, and compliance.

Experience with modern architectures (Data Mesh, Lakehouse) and cataloging tools (Purview, Unity Catalog) is a plus.

Technical Expertise

Proficiency in Data Modeling; Architectures including Data Warehouse, Data Lake, Lakehouse, Data Mesh; Governance frameworks; Platforms like Azure Synapse.

Competency in Data Integration using Azure Data Factory and knowledge of CI/CD practices.

Strong programming skills in SQL, Python, JSON, Java, and Scala.

Leadership & Soft Skills

Systemic thinking and cross-functional communication are essential.

Source · Palo ItFirst seen 2 NovOriginal ↗