20 publicaciones de empleo destacadas en security advisors (¡Están contratando!)

Solutions Architect
Cube Dev —Ciudad de México, CDMX
- Home Office (Desde casa)
- Experiencia en ventas
- SQL
- JavaScript
Postulación rápida
Senior Security Engineer (Europe, Remote)
INTEL 471 —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Desarrollo de software
11d
Key Account Manager - Mexico
Geotab —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- Presencial
- Seguro dental
- Permiso de maternidad y paternidad
Systems Engineer - Must Reside in Mexico City
Extreme Networks —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Informática
- Experiencia en ventas
- Inglés
- Plan de adquisición de acciones empresariales
- Seguro dental
Postulación rápida
Director of Cybersecurity
DYOPATH —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- Inglés
- Licenciatura
Postulación rápida
Success Architect - MuleSoft (Portuguese Speaking)
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en ventas
- Salesforce
- DevOps
Poly Presales Technical Consultant
HP —Ciudad de México, CDMX
- Tiempo completo
- Disponibilidad para viajar hasta un 50 %
- Experiencia en ventas
- Oratoria
Director/Senior Managing Consultant, Services Business Development - Client Business Partner
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Inglés
- Apertura de nuevos negocios
Manager, Employee Relations
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
8h
Agreement Manager
Wärtsilä —Ciudad de México, CDMX
- Administración de personal
- Experiencia en ventas
- Maestría
12d
Lead, Digital Process Transformation
The Nielsen Company —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Maestría
- Licenciatura
- Seguro de vida
Postulación rápida
HR Admin Manager
Top Talents —Ciudad de México, CDMX
- $40,000 a $70,000 por mes
- Tiempo completo
- Licenciatura
- Habilidades de organización
- Negocios
Postulación rápida
Manager Acceptance & Merchant Solutions
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Inglés
- Disponible para viajar
Senior People Specialist
Checkout.com —Ciudad de México, CDMX
- Tiempo completo
- Inglés
Postulación rápida
Account Manager (LATAM)
Kinective —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Disponible para viajar
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Sr Partner Solutions Architect, Partners
Amazon Web Services Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- Experiencia en bases de datos
LAR Customer Service Coordinator (Trilingual)
AIG MEXICO SERVICIOS S.A. DE C.V. —Ciudad de México, CDMX
- Correo electrónico
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Outlook
Postulación rápida
Total Plan Client Service Senior Associate
MSCI —Monterrey, N. L.
- Tiempo completo
- Administración de personal
- Inglés
- Licenciatura
- Permiso de maternidad y paternidad
4d
Research Consultant, Advisors Research (CDMX)
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Excel
- Administración de personal
Senior Sales Executive Fintech
SALESSTAR MEXICO —Cuajimalpa, CDMX
- Tiempo completo
- Experiencia en ventas
- ERP systems
- 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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security advisors empleos

Solutions Architect

Senior Security Engineer (Europe, Remote)

Key Account Manager - Mexico

Systems Engineer - Must Reside in Mexico City

Director of Cybersecurity

Success Architect - MuleSoft (Portuguese Speaking)

Poly Presales Technical Consultant

Director/Senior Managing Consultant, Services Business Development - Client Business Partner

Manager, Employee Relations

Agreement Manager

Lead, Digital Process Transformation

HR Admin Manager

Manager Acceptance & Merchant Solutions

Senior People Specialist

Account Manager (LATAM)

Sr Partner Solutions Architect, Partners

LAR Customer Service Coordinator (Trilingual)

Total Plan Client Service Senior Associate

Research Consultant, Advisors Research (CDMX)

Senior Sales Executive Fintech

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