4 publicaciones de empleo destacadas de machine learning engineer en cuajimalpa, dif (¡Están contratando!)

Data Platform Architect
Nexaminds —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Experiencia en bases de datos
- SQL
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Lead Customer Management & Collections
Lendable —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Inglés
- SQL
Regional Sales Manager
Cloudbeds —Ciudad de México, CDMX
- Incluye fines de semana
- Home Office (Desde casa)
- Administración de personal
- Experiencia en ventas
- Salesforce
- Vacaciones adicionales o permisos con goce de sueldo
- Permiso de maternidad y paternidad
AI Business Operations Analyst - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Salesforce
- Inglés
- SQL

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Data Platform Architect

Nexaminds
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Beneficios

Opciones sobre acciones

Cualificaciones

Azure
Microsoft SQL Server
NoSQL
Experiencia en bases de datos
SQL
Contratos

Descripción completa del empleo

Unlock Your Future with Nexaminds!

At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.

Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.

Eligibility Notice This position is only open to candidates who are Mexican citizens currently residing in Mexico. Applications from candidates who do not meet this legal and operational requirement will not be considered. We appreciate your interest and encourage you to apply to roles that match your location.

Nexaminds is looking for a Data Platform Architect to join a large-scale platform modernization program focused on decomposing a complex enterprise monolith into modern, distributed services. The ideal candidate has hands-on experience modernizing enterprise applications, decomposing large-scale relational databases into domain-oriented architectures, consolidating customer data into scalable multi-tenant platforms, migrating data from Microsoft SQL Server to Azure Cosmos DB, and designing event-driven architectures. This role will lead the definition of data ownership, domain boundaries, SQL-to-NoSQL migration strategies, multi-tenant data architecture, event schema standards, and cross-domain data architecture while partnering closely with architects and engineering teams to enable a seamless transition from a legacy monolithic platform to a cloud-native, microservices-based architecture.

Location: MEXICO

Qualifications we are looking for:

Data architecture experience, including work on large-scale legacy systems with significant relational complexity.
Hands-on experience decomposing large monolithic databases into domain-oriented data models, defining clear ownership boundaries, and reducing cross-domain dependencies.
Hands-on experience untangling shared or cross-domain data models — you've done the work of figuring out what belongs where and what the consequences of getting it wrong are.
Experience consolidating multiple customer databases into scalable multi-tenant architectures, including tenant isolation, shared data models, and migration strategies.
Direct experience migrating from relational (Microsoft SQL Server) to document (Azure Cosmos DB) data models at production scale, including partition design and schema evolution.
Strong event-driven architecture experience, including event schema design, schema versioning, consumer contracts, and evolution strategy at scale.
Solid understanding of CDC (Change Data Capture) patterns and tooling (Debezium or equivalent) in the context of live system migration.
Ability to set architecture standards that distributed teams implement independently, rather than owning a single centralized system.
Fluency working with application architects and engineers — this role sits at the intersection of data and system design.
Familiarity with Azure Service Bus, Azure Container Apps, or Terraform.

Nice to have:

HCM, payroll, benefits, or tax domain experience.
Background working in a formal modernization or re-platforming program.

Job duties:

Analyze the monolith database to identify domain boundaries, shared data, and extraction sequencing — the foundational work decomposition teams depend on before they can move.
Define strategies for decomposing monolithic relational databases into domain-aligned data models while minimizing cross-domain dependencies.
Design scalable multi-tenant data architectures and define strategies for consolidating customer-specific databases into shared cloud-native platforms.
Define SQL Server Cosmos DB migration patterns and standards that each domain team executes against, including partition strategy, document modeling guidance, consistency level decisions, and indexing.
Design the data ownership and access model for cross-domain entities (employee record, org structure, etc.) before teams make independent decisions that conflict.
Define canonical event schemas for domain extraction and own the evolution and governance strategy across all five workstreams.
Maintain reporting continuity throughout extraction — serving as the bridge between what decomposition teams emit via Debezium/CDC and what downstream data consumers expect.
Partner with the data lake architect to align on CDC output contracts and event schema standards.
Identify data-level risks in the extraction sequence early, before they become production incidents.
Contribute to decomposition planning sessions with data-grounded input on sequencing, dependencies, and shared concerns

What you can expect from us

Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness.

Stock options

Benefits above the law
But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
You'll have access to mentorship and tons of opportunities to learn and level up.

Ready to embark on this journey with us? If you're feeling the excitement, go ahead and apply!

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machine learning engineer empleos en cuajimalpa, dif

Data Platform Architect

Lead Customer Management & Collections

Regional Sales Manager

AI Business Operations Analyst - Mexico City (Hybrid)

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