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Palo IT

Data Architect

🗓️ Posted 2026-08-27 PALO IT Brazil Fulltime Hybrid ICT

Company shared salary

NA

Market rate

S$10,000–S$18,000/mo (S$120,000–S$216,000/yr)

Based on similar roles (title + domain + location).

About the Company

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. 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.

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.

Requirements

  • ● 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
  • ● + years of experience in Data engineer
  • ● + years designing cloud-based data architectures (Azure, AWS, or GCP).
  • ● + years in data architecture, enterprise data modeling, or data governance.
  • ● Led data model design (relational, multidimensional, non-relational) for Data Warehouse, Data Lake, or Lakehouse architectures.
  • ● Participated in multi-source data integration projects (on-premise, cloud, external sources).
  • ● In-depth knowledge of data governance frameworks including quality, cataloging, privacy, and compliance.
  • ● Technical Expertise
  • ● Data Modeling: Conceptual, logical, physical modeling; normalization; relational and non-relational design.
  • ● Architectures: Data Warehouse, Data Lake, Lakehouse, Data Mesh.
  • ● Governance: Data lineage, quality, privacy, RBAC, metadata management.
  • ● Platforms: Azure Synapse, Azure Data Lake Gen2, Purview, Unity Catalog, Cosmos DB.
  • ● Data Integration: Azure Data Factory, API Management, integration patterns, Azure Databricks.
  • ● Infrastructure as Code (IaC): Terraform, Azure DevOps (preferred).
  • ● Languages & Tools: SQL, Python (architectural level), JSON, Java, Scala.
  • ● CI/CD: Git, Sonar, DevOps best practices.
  • ● Leadership & Soft Skills
  • ● Systemic Thinking: Designs modular, scalable, and integrated architectures.

Benefits

  • ● Stimulating working environments
  • ● Unique career path
  • ● International mobility
  • ● Internal R&D projects (including Gen-e2 )
  • ● Knowledge sharing
  • ● Personalized training via PALO IT Academy
  • ● Entrepreneurship & intrapreneurship
  • ● For more on our team culture and benefits, check out our careers page https://www.palo-it.com/en/career.