About this role
Palo-it seeks an AI Native Data Architect in Mexico to design and optimize enterprise data frameworks. This role suits experienced professionals looking to shape digital transformation initiatives using cloud technologies and artificial intelligence.
Role Overview
Palo-it operates as a global technology consultancy focusing on artificial intelligence solutions. The professional in this role guides the evolution of data architecture, collaborates with diverse teams, and ensures adherence to governance and security policies.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Palo-it is a B Corp-certified and World Economic Forum New Champion consultancy founded in 2009. The independent organization maintains a presence across 10 countries with a diverse team of experts delivering digital transformation services.
How to Apply
Interested candidates should review the official company careers page to submit their application.
Skills and tech stack
Questions candidates ask
What qualifications are required for the AI Native Data Architect position?
Applicants must hold a Bachelor's degree in Computer Science, Software Engineering, Applied Mathematics, Mechatronics Engineering, or a related field. Candidates also need over 10 years of data engineering background, with specific experience in cloud data architectures and data governance.
What cloud platforms and tools are used in this role?
The tech stack includes Azure, AWS, GCP, Azure Synapse, Azure Data Lake Gen2, Microsoft Purview, Unity Catalog, Cosmos DB, Azure Data Factory, and Azure Databricks, alongside Terraform and Python.
What are the core responsibilities regarding artificial intelligence?
The role requires utilizing generative artificial intelligence coding tools such as GitHub Copilot and Cursor for code generation, optimization, test-case creation, debugging, and automated documentation generation.
Is remote work available for this position?
The posting specifies the location as Palo-it Mexico, but does not explicitly state remote work options.
What professional background length is expected?
The candidate must have 10+ years in data engineering, 3+ years designing cloud-based data architectures, and 2+ years specifically in data architecture, enterprise data modeling, or data governance.
