9 publicaciones de empleo destacadas en data software engineer (java+aws) (¡Están contratando!)

Enterprise Arch. Specialist Advisor
NTT Ltd —Guadalajara, Jal.
- Tiempo completo
- Azure
- Oracle
- DevOps
AI Native Tech Lead/Architect
PALO IT —Ciudad de México, CDMX
- Azure
- Administración de personal
- Inglés
Postulación rápida
Senior Full-Stack Software Engineer
Particle41 —México
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Java
Postulación rápida
Full-Stack Engineer
GSB Solutions —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- Java
Postulación rápida
Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO
Scalepex —México
- Home Office (Desde casa)
- Administración de personal
- Java
- Experiencia en bases de datos
Postulación rápida
MLOps Engineer
VASS Mexico —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Descuento de gimnasio
Solutions Architect
SunnyData —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
Forward Deployed Engineer (AI) - Mexico
NextLink Labs —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- Java
Technical Lead Manager
Aplazo —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Java
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AI Native Tech Lead/Architect
PALO IT —Ciudad de México, CDMX
Design, build, and evolve REST APIs, including versioning, contract-first practices (OpenAPI), backward compatibility, and robust error handling.
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Tech Director (Health Tech & AI)
Wizeline —Guadalajara, Jal.
Experience in healthcare tech or fintech industries. Design and build full-stack solutions in cloud-native environments.

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Enterprise Arch. Specialist Advisor

NTT Ltd -
Guadalajara, Jal.

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Información del empleo

Tiempo completo

Cualificaciones

Modelado de datos
Azure
Oracle
Ingeniería de software
Big data
DevOps
Spark
Microsoft SQL Server
NoSQL
Mantenimiento
Google Cloud Platform
MongoDB
Java
Experiencia en bases de datos
SQL
C++
JavaScript
PostgreSQL
Neo4j
Capacitación
Requisitos comerciales
Python
MySQL
Hadoop

Descripción completa del empleo

Job Title: Data Architect

Overview

We are looking for a highly skilled Data Architect to design, implement, and manage the organization’s data architecture. This role ensures the availability, quality, security, and accessibility of data across systems, enabling analytics, reporting, and operational excellence.

The Data Architect will define data standards, develop scalable architectures, and collaborate closely with engineering, analytics, and business teams to deliver efficient and future-ready data solutions.

Key Responsibilities

Design and implement enterprise data architecture and data models
Define and enforce data standards, governance, and best practices
Develop scalable architectures to support analytics, reporting, and operational systems
Architect and oversee data integration and pipeline frameworks
Ensure data quality, consistency, and reliability across platforms
Optimize data workflows, storage, and performance
Collaborate with cross-functional teams to translate business requirements into technical solutions
Ensure compliance with data governance, security, and regulatory policies
Provide technical leadership and guidance to data engineering teams
Maintain documentation, architecture diagrams, and standards

Core Competencies

Data Strategy Planning
Data Modeling Design
Data Integration Pipeline Architecture
Data Governance Quality
Database Storage Solutions
Cloud Big Data Architecture
Performance Optimization
Collaboration Leadership
Documentation Standards
Troubleshooting Maintenance

Required Qualifications

Strong background in software engineering:
SQL, Python
ETL/ELT tools and frameworks
Working knowledge of Java or C++
Extensive experience with database platforms:
RDBMS: PostgreSQL, SQL Server, MySQL, Oracle
NoSQL: MongoDB, Neo4j
Proven experience designing and managing data architectures and data models
Hands-on experience with multi-source data pipelines
Strong knowledge of data warehousing concepts and data quality practices
Experience with API development and data services integration

Preferred Qualifications

Experience with cloud data platforms (AWS, Azure, or GCP)
Familiarity with big data ecosystems (e.g., Hadoop, Spark)
Knowledge of DevOps and infrastructure-as-code tools
Experience leading or mentoring data engineering teams

Key Skills

Strategic thinking and architectural design
Strong analytical and problem-solving abilities
Excellent communication and stakeholder management
Ability to balance technical depth with business needs

Role Structure

Headcount: 1 Data Architect
Leadership scope: Works closely with Data Engineers, Analysts, and Business stakeholders

•

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data software engineer (java+aws) empleos

Enterprise Arch. Specialist Advisor

AI Native Tech Lead/Architect

Senior Full-Stack Software Engineer

Full-Stack Engineer

Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO

MLOps Engineer

Solutions Architect

Forward Deployed Engineer (AI) - Mexico

Technical Lead Manager

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