20 publicaciones de empleo destacadas en solutions architect, latam (¡Están contratando!)

Solutions Architect
Cube Dev —Ciudad de México, CDMX
- Home Office (Desde casa)
- Experiencia en ventas
- SQL
- JavaScript
Postulación rápida
BPO AI Solutions Architect
Resolv.Global —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Salesforce
- Inglés
Postulación rápida
Solutions Architect, LATAM
GitLab —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en ventas
- Desarrollo de software
- Plan de adquisición de acciones empresariales
- Vacaciones adicionales o permisos con goce de sueldo
14d
Regional Branding & Partnerships Manager - LATAM
Binance —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
Postulación rápida
Solutions Architect
TechBiz Global GmbH —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Administración de personal
- Inglés
Postulación rápida
Solutions Architect
ByteDance —Ciudad de México, CDMX
- Administración de personal
Coordinador de Eventos Corporativos a Nivel LATAM
Bi WorldWide México —Jardines del Pedregal, CDMX
- $30,000 a $33,000 por mes
- Tiempo completo
- Trabajo híbrido
- Disponibilidad para viajar hasta un 50 %
- Inglés
- Bachillerato
- Descuentos y precios preferenciales
- Horarios flexibles
Postulación rápida
Senior Backend Architect LATAM
Wizdaa —Edo. de México
- Tiempo completo
- Home Office (Desde casa)
- Licenciatura
Postulación rápida
11d
Business Analyst – LATAM (Mexico City–based)
Energizer —Ciudad de México, CDMX
- $460,500 a $1,183,900 por año
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Powerpoint
- Bilingüe
- Microsoft Word
Postulación rápida
4d
Senior Solutions Consultant - LATAM
Rippling —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en ventas
- Licenciatura
- Sin título de educación superior
Remote Documentation Specialist (LATAM)
Meadow —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Captura de datos
- Mecanografía
- Vacaciones adicionales o permisos con goce de sueldo
14d
Head of eComm Channel - LATAM
LEGO —Ciudad de México, CDMX
- Administración de personal
- Experiencia en ventas
- Inglés
Ejcutivo comercial Latam
Sinergia Mexico —Ciudad de México, CDMX
- $50,000 a $60,000 por mes
- Tiempo completo
- Trabajo híbrido
- Inglés
- Capacidad analítica
- Negociación
- Trabajo desde casa
Postulación rápida
Executive Assistant - LATAM
Assistant Launch —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Microsoft Office
- Licenciatura
Postulación rápida
Project Manager BESS LATAM
Enertis Applus+ —Ciudad de México, CDMX
- Trabajo híbrido
- Ingeniería
- Inglés
- Habilidades de organización
- Oportunidades de crecimiento
- Horarios flexibles
Postulación rápida
Agentic AI Solutions Architect - Remote, Latin America
Bluelight Consulting —Puebla, Pue.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Drive the Future - Trading - Currencies And Emerging Markets (Part-Time)
JPMorganChase —Colonia Lomas de Chapultepec, CDMX
- Medio tiempo
- Inglés
- Python
Advisory Solutions Architect
MongoDB —Ciudad de México, CDMX
- Azure
- Experiencia en ventas
- DevOps
- Permiso de maternidad y paternidad
Solutions Engineering - LATAM
Geotab —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Experiencia en ventas
- Seguro dental
- Permiso de maternidad y paternidad
Design Director
EQUALS TRUE —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
Postulación rápida

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Solutions Architect

Cube Dev
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Cualificaciones

Modelado de datos
Derecho
Experiencia en ventas
SQL
JavaScript
YAML
GraphQL
Redshift
Python

Descripción completa del empleo

At Cube, we're redefining how organizations deliver, consume, and automate data and analytics across teams, tools, and AI agents. Our mission is to enable Agentic Analytics, where AI agents work alongside humans on a shared semantic foundation

If you're fascinated by building core data and AI infrastructure, the kind that powers analytics at the world's most advanced technology companies , but want the agility and ownership of a startup, Cube is where you'll thrive.

With 19,000+ GitHub stars and 13,000+ community members, Cube is trusted by 400+ companies, including Maersk, Kimberly-Clark, Freshworks, Patagonia, Webflow, Brex, Deel, Tubi, Walmart, and Drata. Our platform empowers AI agents with a universal semantic foundation, enabling autonomous analytics at scale while maintaining consistency, security, and performance across BI tools, spreadsheets, and embedded applications.

What You'll Do

Technical Leadership & Architecture

Design and architect end-to-end semantic layer solutions using Cube, integrating with customers' existing data warehouses (e.g., Snowflake, BigQuery, Redshift).
Build comprehensive data models in YAML or JavaScript that define metrics, dimensions, and business logic to support data analysis and decision-making.
Develop proof-of-concepts and technical demonstrations that showcase Cube's capabilities on customer data.
Guide customers on best practices for data modeling, caching strategies, access control, and performance optimization.

Customer Engagement

Lead technical discovery sessions to understand customer data architecture, analytics
requirements, and business objectives.
Conduct hands-on workshops and training sessions to enable customer teams to use
Cube effectively.
Partner with Sales to provide technical expertise during the evaluation process.
Serve as a trusted technical advisor throughout the customer lifecycle, from pre-sales
through post-implementation.
Solution Development
Write complex SQL queries to analyze customer data and validate solution designs.
Conduct data analysis to identify opportunities for optimization and architectural
improvements.
Build integrations between Cube and downstream tools (BI platforms, notebooks,
custom applications).
Create technical documentation, reference architectures, and implementation guides.
Product Collaboration
Provide customer feedback to Product and Engineering teams to influence the roadmap.
Contribute to internal tooling and automation to improve solution delivery.
Develop reusable patterns and frameworks for common implementation scenarios to
facilitate efficient and consistent development.

What You Bring

Required Skills

Expert-level SQL proficiency - You can write complex queries, optimize performance,
and understand query execution plans. This is the foundational skill for success in this
role.
Strong data analysis capabilities - You understand how to explore data, identify
patterns, validate metrics, and communicate insights.
Programming experience in JavaScript OR Python - You're comfortable reading and
writing code, working with APIs, and building data transformations.
3+ years in solutions architecture, data engineering, analytics engineering, or similar
technical customer-facing roles.
Deep understanding of modern data stack architecture (data warehouses, transformation
tools, BI platforms).
Experience with semantic layers, metrics layers, or BI modeling frameworks (LookML,
dbt metrics, etc.).
Strong communication skills - you can translate technical concepts for both technical and
business audiences.

Highly Valued

Prior experience with Cube.js or similar semantic layer platforms.
Background in analytics engineering or data platform roles.
Experience with data modeling best practices and dimensional modeling.
Familiarity with REST/GraphQL APIs and how applications consume analytics.
Knowledge of caching strategies and performance optimization for analytics workloads.
Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift).
Understanding of multi-tenancy, access control, and data governance requirements.

Nice to Have

Experience with embedded analytics or building data-powered applications.
Knowledge of both JavaScript AND Python ecosystems.
Contributions to open-source data projects.
Familiarity with AI/LLM integration with semantic layers.

What Success Looks Like

Customers successfully deploy Cube into production with well-architected, performant
solutions.
High satisfaction scores from customers with technical guidance and support.
Ability to handle complex, multi-source data modeling scenarios.
Proactive identification of opportunities to expand Cube usage within customer
organizations.
Contributions to the internal knowledge base and solution patterns that benefit the entire
team.

Why Join Cube

Work with cutting-edge semantic layer technology at the intersection of data engineering,
analytics, and AI.
Collaborate with a passionate team that includes the creators of the open-source Cube
project.
Make a direct impact on how thousands of companies organize and access their data.
Competitive compensation.
Remote-friendly culture with flexible work arrangements.

Postulación rápida

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Executive Assistant - LATAM

Project Manager BESS LATAM

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Drive the Future - Trading - Currencies And Emerging Markets (Part-Time)

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Quiero recibir la alerta de empleo más reciente para solutions architect, latam

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