11 publicaciones de empleo destacadas de engineer ai integrations, mcp & python en desde casa (¡Están contratando!)

Senior Enterprise Architect
GOODS & SERVICES —Desde casa
- Home Office (Desde casa)
- Experiencia en bases de datos
4d
Golang Developer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
5d
QA Architect
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Contratos
- Vacaciones adicionales o permisos con goce de sueldo
2d
Engineering Manager
Nexaminds —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
Sales Engineer
BlueCat Networks —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Experiencia en ventas
- Salesforce
Senior Product Manager (Remote)
Trivelta —Desde casa
- Home Office (Desde casa)
- Inglés
Postulación rápida
Senior Consultant, Data & AI (Microsoft Fabric) (Remote LATAM)
Atmosera —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
Postulación rápida
Tech Lead (Salesforce Commerce Cloud)
APPLY —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Salesforce
- Inglés
- Capacitación
Postulación rápida
10d
Platform Professional Services Sr. Consultant - NG SIEM (Remote, MEX)
CrowdStrike —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- Inglés
Senior Salesforce Developer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- Experiencia en ventas
- Vacaciones adicionales o permisos con goce de sueldo
Sr. LogScale/NG SIEM Customer Success Manager - Bilingual (Spanish/English) (Remote)
CrowdStrike —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Administración de personal
- Servicio al cliente

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Senior Enterprise Architect

GOODS & SERVICES
Desde casa

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Información del empleo

Hace 4 días

Cualificaciones

Modelado de datos
Bases de datos relacionales
Experiencia en bases de datos
Kafka
Requisitos comerciales

Descripción completa del empleo

About Goods & Services

Goods & Services is a product design and engineering company.

We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services. Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size.

Headquartered in the United States, we operate regional development centers in Mexico and the United Kingdom. This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect.

About the job

Goods & Services is looking for a Senior Enterprise Data Architect role supporting new data initiatives across the organization. The architect will be responsible for designing enterprise data warehouse solutions, defining data models, and creating technical documentation that guides the data engineering teams. The role also involves working closely with business stakeholders to translate business requirements into scalable technical designs. This role is separate from the data engineering team and is focused on architecture, technical direction, and solution design rather than day-to-day pipeline development.

What you’ll do:

Designing enterprise data warehouse architectures and data models.
Defining data integration strategies across multiple source systems, including relational databases, APIs, and streaming platforms.
Creating architecture and technical design documentation.
Collaborating with data engineers to implement solutions.
Developing proof of concepts for new tools or technologies before broader implementation.
Providing technical leadership on new data initiatives while remaining hands-on when needed.

What you’ll need:

Enterprise data warehouse design and architecture.
Strong dimensional data modeling experience.
Hands-on experience with Snowflake.
Experience with Kafka.
AWS experience.
Enterprise data integration experience, including relational databases, APIs, and streaming data.
Ability to create technical architecture documentation and translate business requirements into technical solutions.
Hands-on development experience to build proof of concepts when evaluating new technologies.

Nice to have:

Data Vault modeling experience.
Experience with enterprise ETL/ELT or data integration platforms.
Experience working in high-volume enterprise environments processing millions of transactions.

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engineer ai integrations, mcp & python empleos en desde casa

Senior Enterprise Architect

Golang Developer

QA Architect

Engineering Manager

Sales Engineer

Senior Product Manager (Remote)

Senior Consultant, Data & AI (Microsoft Fabric) (Remote LATAM)

Tech Lead (Salesforce Commerce Cloud)

Platform Professional Services Sr. Consultant - NG SIEM (Remote, MEX)

Senior Salesforce Developer

Sr. LogScale/NG SIEM Customer Success Manager - Bilingual (Spanish/English) (Remote)

Quiero recibir la alerta de empleo más reciente para engineer ai integrations, mcp & python en desde casa

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