AI Native Data Architect

Reposted 29 Days Ago
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Hiring Remotely in El Palo, Cuquío, Jalisco, MEX
Remote or Hybrid
Expert/Leader
Information Technology • Consulting
The Role
Lead design, evolution, and governance of enterprise data architecture. Define data models, integration patterns (batch and real-time), and technology choices. Drive metadata management, lineage, data quality, privacy, and adoption of cataloging tools. Collaborate with engineering, analytics, and business teams to translate requirements into scalable cloud data solutions and promote standards, best practices, and AI-native development.
Summary Generated by Built In
 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.

 
What experience do you need for this role?

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

 

Required Experience

  • 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.

  • Professional 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.

    • Led data model design for various architectures (Data Warehouse, Data Lake, etc.).

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

 

Technical Expertise

  • Data Modeling: Proficiency in conceptual, logical, and physical modeling.

  • Architectures: Experience with Data Warehouse, Data Lake, and Data Mesh.

  • Governance: Familiarity with data lineage, quality, and metadata management.

  • Platforms: Azure Synapse, Purview, Unity Catalog, Cosmos DB.

  • Languages & Tools: SQL, Python, JSON, Java, Scala.

  • Infrastructure as Code (IaC): Terraform, Azure DevOps.

 

Leadership & Soft Skills

  • Systemic thinking and ability to manage complexity.

  • Excellent cross-functional communication skills.

  • Technical leadership and a strong focus on scalability and reuse.

 
AI-Native Engineering (Core Expectation)
  • Utilize Generative AI coding tools for tasks like code scaffolding and documentation generation.

  • Apply best practices for reliable engineering outcomes and validate outputs.

 
More About PALO IT

Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses, and frontier partners, helping them scale AI and solve complex technology challenges.

 

What We Offer

 
  • Stimulating working environments

  • Unique career path

  • International mobility

  • Opportunities for internal R&D projects and personalized training via PALO IT Academy

  • A culture of entrepreneurship & intrapreneurship

 

For more on our team culture and benefits, check out our careers page.

 
Diversity, Equity and Inclusion

As a B Corp, PALO IT provides equal opportunities and assesses candidates solely on skills, potential, and motivation. PALO IT welcomes applications regardless of gender identity or expression, sexual orientation, age, background, ethnicity, religion, disability, or any other protected attribute.

 
Frequently asked questions about this role

Q: What is the work model for this position?
A: Hybrid

 

Skills Required

  • Bachelor's degree in Mechatronics Engineering, Applied Mathematics, Software Engineering, Computer Science, or related field
  • Microsoft Certified or Azure Data Engineer Associate (preferred cloud/data architecture certifications)
  • 10+ years experience as a Data Engineer
  • 3+ years designing cloud-based data architectures (Azure, AWS, or GCP)
  • 2+ 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
  • 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)
  • Familiarity with platforms: Azure Synapse, Azure Data Lake Gen2, Purview, Unity Catalog, Cosmos DB
  • Experience with data integration tools: Azure Data Factory, API Management, Azure Databricks
  • Infrastructure as Code experience: Terraform, Azure DevOps
  • Programming and query languages: SQL, Python, JSON, Java, Scala
  • CI/CD and engineering practices: Git, Sonar, DevOps best practices
  • Use of generative AI coding tools (e.g., GitHub Copilot, Cursor), prompt-engineering, and validating GenAI outputs
  • Strong cross-functional communication and technical leadership
  • Product and platform mindset with systemic thinking and reuse focus
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The Company
HQ: Hong Kong
583 Employees

What We Do

PALO IT is a global innovation consultancy and Agile software development company dedicated to helping organizations embrace tech as a force for good. We have a team of more than 700 experts across 16 offices in design, tech development and Agile who work with clients in all regions: Europe, Asia-Pacific and the Americas, to rapidly create new business models, launch innovative products and services with positive impact at their core, and prepare leadership and culture for the future. We are proud to be B Corp-certified in Singapore, Hong Kong, Mexico and Thailand, and working towards certifications across all other locations. Certified B Corporations are a leaders of a worldwide movement of people using business as a force for good. There are currently 8,600+ B Corps from 162 industries across 98 countries. We are also honored to be a World Economic Forum New Champion since 2021, a network of high-growth companies chosen by the World Economic Forum who are applying new business models, emerging technologies and sustainable growth strategies into every arm of their organization. We can all act for change, both as individuals and as organizations

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