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

Solutions Architect
Cube Dev —Ciudad de México, CDMX
- Home Office (Desde casa)
- Experiencia en ventas
- SQL
- JavaScript
Postulación rápida
Customer Success Manager
Shiji Group —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Disponible para viajar
Postulación rápida
Banamex - Workday Developer Benefits, Compensation & Learning
Citi —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Licenciatura
- Sin título de educación superior
Principal Consultant – Laboratory & Quality Systems Transformation (LIMS)
Thermo Fisher Scientific —Ampliación Nápoles, CDMX
- Tiempo completo
- Administración de personal
- PMP
- Inglés
Asset & Wealth Management, Client Solutions Group, Exchange-Traded Funds, Head of LATAM ETF Business Development, Vice President
Goldman Sachs —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en ventas
- Licenciatura
- Presencial
- Seguro dental
- Permiso de maternidad y paternidad
Bilingual Area Manager- LA&C
International Dairy Queen, Inc. —Ciudad de México, CDMX
- Incluye fines de semana
- Home Office (Desde casa)
- Microsoft Powerpoint
- Bilingüe
- Microsoft Word
Postulación rápida
Sr. Customer Success Manager
iCIMS Talent Acquisition —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Licenciatura
- Disponible para viajar
- Seguro de la vista
Technical Group Leader
Givaudan —Ciudad de México, CDMX
- Administración de personal
- Experiencia en ventas
- Inglés
Sr. Customer Success Manager
iCims —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Licenciatura
- Disponible para viajar
- Seguro de la vista
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
Sales Specialist (Technical Portfolio Element) Data Integration
Siemens —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Experiencia en ventas
- Inglés
- Licenciatura
5d
Senior Cloud Architect – Financial Services Industry (FSI)
Oracle —Ciudad de México, CDMX
- Tiempo completo
- Oracle
- Administración de personal
- Inglés
Banamex - Applications Development Sr Appian
Citi —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Licenciatura
- Sin título de educación superior
9d
Senior Sales Executive Fintech
SALESSTAR MEXICO —Cuajimalpa, CDMX
- Tiempo completo
- Experiencia en ventas
- ERP systems
- Inglés
Postulación rápida
Salesforce Engagement Delivery Manager
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- CRM software
- Administración de personal
- PMP
Senior Technical Account Manager
Trustonic —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Inglés
Postulación rápida
Senior People Specialist
Checkout.com —Ciudad de México, CDMX
- Tiempo completo
- Inglés
Postulación rápida
Enterprise Customer Success Manager (Financial Services)
Creatio —Ciudad de México, CDMX
- Trabajo híbrido
- Administración de personal
- Inglés
- Servicios financieros
Postulación rápida
Senior Technical Project Manager
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- PMP
- Inglés
Senior Customer Success Manager
MongoDB —Ciudad de México, CDMX
- Azure
- Informática
- Licenciatura
- Permiso de maternidad y paternidad

Quiero recibir la alerta de empleo más reciente para implementation advisor en ciudad de méxico, dif

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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

Refina tu búsqueda

implementation advisor empleos en ciudad de méxico, dif

Solutions Architect

Customer Success Manager

Banamex - Workday Developer Benefits, Compensation & Learning

Principal Consultant – Laboratory & Quality Systems Transformation (LIMS)

Asset & Wealth Management, Client Solutions Group, Exchange-Traded Funds, Head of LATAM ETF Business Development, Vice President

Bilingual Area Manager- LA&C

Sr. Customer Success Manager

Technical Group Leader

Sr. Customer Success Manager

Key Account Manager - Mexico

Sales Specialist (Technical Portfolio Element) Data Integration

Senior Cloud Architect – Financial Services Industry (FSI)

Banamex - Applications Development Sr Appian

Senior Sales Executive Fintech

Salesforce Engagement Delivery Manager

Senior Technical Account Manager

Senior People Specialist

Enterprise Customer Success Manager (Financial Services)

Senior Technical Project Manager

Senior Customer Success Manager

Quiero recibir la alerta de empleo más reciente para implementation advisor en ciudad de méxico, dif

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