20 publicaciones de empleo destacadas de architect aws en ciudad de méxico, dif (¡Están contratando!)

AI Native Data Architect
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Java
Postulación rápida
14d
Senior Dev Ops Engineer
Peek —Ciudad de México, CDMX
- $950,000 a $1,300,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Sr. Principal Engineer, SRE
iCIMS Talent Acquisition —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
- Permiso de maternidad y paternidad
- Seguro de vida
6d
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Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Software Developer
Edenred —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Golang Sr Developer
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
- Seguro de vida
Senior Software Engineer - Go Engineer - Platform Services
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
- Seguro dental
- Seguro de la vista
Sr. Data Engineer
Coca-Cola —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Java
4d
PMTS - Principal Agentic Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Cloud Engineer
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
Senior Software Engineer - Hybrid
NielsenIQ —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Postulación rápida
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Agentic AI Commerce Manager - Mexico
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Specialist, IT Cloud Services, Global
Olympus —Nápoles, CDMX
- Azure
- Administración de personal
- Informática
- Seguro dental
- Permiso de maternidad y paternidad
Ingeniero Senior, Datos Industriales
Constellation Brands —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Full Stack AI Engineer - Security
Arrivia, Inc. —Del Valle Centro, CDMX
- Informática
- Inglés
- Maestría
Postulación rápida
Senior Python Engineer
Delinea —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- Administración de personal
- Informática
- Seguro de vida
6d
Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
Identity & Access Management SailPoint Engineering
PMX Santander Global Technology and Operations, S.L. Sociedad Unipersonal —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Java
- JavaScript
Technical Advisor
Trend Micro —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal

Quiero recibir la alerta de empleo más reciente para architect aws en ciudad de méxico, dif

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AI Native Data Architect

PALO IT -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 14 días

Cualificaciones

Modelado de datos
Azure
Ingeniería de software
DevOps
Arquitectura
Matemáticas
Git
Google Cloud Platform
Java
SQL
Licenciatura
JavaScript
Scala
Unity
Requisitos comerciales
Liderazgo
Python

Descripción completa del empleo

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.

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

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

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.
Cross-functional Communication: Translates technical and business requirements clearly and effectively.
Reuse Mindset: Focuses on creating shareable and scalable components.
Technical Leadership: Influences technical direction and decision-making across teams.
Complexity Management: Solves high-impact, large-scale technical challenges.
Product & Platform Mindset: Designs with the data consumer experience in mind.
Curiosity & Continuous Learning: Stays ahead of tech trends and promotes innovation.

AI-Native Engineering (Core Expectation)

Use Generative AI coding tools (e.g., GitHub Copilot, Cursor) as a first-class engineering assistant for:
Code scaffolding and refactoring
Code generation and optimisation
Test-cases and documentation generation
Build applications through AI-driven development practices, including:
AI-assisted debugging and troubleshooting
Intelligent code completion and pattern recognition
Automated documentation generation
Apply prompt engineering best practices for reliable, repeatable engineering outcomes.
Validate GenAI output (determinism checks, guardrails, fallback logic).

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, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

What We Offer

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.

Postulación rápida

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architect aws empleos en ciudad de méxico, dif

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Technical Advisor

Quiero recibir la alerta de empleo más reciente para architect aws en ciudad de méxico, dif

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Who We Are

Building the AI-first frontier enterprise.

Your Role

Who You Are

AI-Native Engineering (Core Expectation)

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, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

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Related Searches

Explorar empleos en más ubicaciones

Who We Are Building the AI-first frontier enterprise.

Your Role

Who You Are

AI-Native Engineering (Core Expectation)

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, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

Who We Are

Building the AI-first frontier enterprise.

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, shaping what comes next, helping them scale AI and solve complex business and technology challenges.