20 publicaciones de empleo destacadas de data scientist en cuajimalpa, dif (¡Están contratando!)

Databricks Architect
Luxoft —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés
Machine Learning Engineer
PALO IT —Ciudad de México, CDMX
- Azure
- Inglés
- Python
Postulación rápida
Decision Intelligence Analyst - Mexico City
ailylabs —Ciudad de México, CDMX
- Azure
- Informática
- SQL
Postulación rápida
EY GDS Mexico - Senior AI Engineer
EY —Miguel Hidalgo, CDMX
- Azure
- Informática
- Maestría
Software Development Engineer, PPO (Prelaunch Portfolio Orchestration)
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Java
- Licenciatura
Databricks Data Engineer
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Java
Principal/Senior/Mid - AI/ML Engineer - Mexico City
ailylabs —Ciudad de México, CDMX
- DevOps
- Capacitación
- Python
Postulación rápida
IT Applied AI Engineer
l'Oréal —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Maestría
Postulación rápida
1d
Cloud Engineer
Luxoft —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Go-to-Market Engineer - Mexico City, Mexico
Speechify —Ciudad de México, CDMX
- Home Office (Desde casa)
- Doctorado
- Salesforce
12d
FBS - Associate Decision Scientist
Capgemini —Ciudad de México, CDMX
- Trabajo híbrido
- SQL
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Principal AI Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
9d
Data Engineer
PALO IT —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés
Postulación rápida
Senior Analyst Performance & Analytics
CHEP —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Microsoft Excel
- Administración de personal
- Análisis de datos
Senior Software Engineer, Windows/Desktop Applications - Mexico City, Mexico
Speechify —Ciudad de México, CDMX
- Home Office (Desde casa)
- Doctorado
- C++
- Capacitación
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
9d
Equity Investing Researcher
MSCI —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Licenciatura
- Habilidades de comunicación
- Permiso de maternidad y paternidad
Java & API Application Support Engineer – AMS
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Oracle
- Informática
- Microsoft Office
Senior Software Development Engineer - Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Java
FBS Scrum Master
Capgemini —Ciudad de México, CDMX
- $1 por año
- Tiempo completo
- Trabajo híbrido
- Informática
- DevOps
- Microsoft Office
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida

Quiero recibir la alerta de empleo más reciente para data scientist en cuajimalpa, dif

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Databricks Architect

Luxoft -
Ciudad de México, CDMX

Postúlate ahora

Información del empleo

Cualificaciones

C1 Advanced
Azure
DevOps
Spark
Inglés
Google Cloud Platform
Control del costos
SQL
Scala
Seguridad
Apache
Experiencia en manufactura
Liderazgo
Python

Descripción completa del empleo

Project description

We are seeking a highly experienced Databricks Architect to lead the design, implementation, and optimization of enterprise-grade data platforms and AI-enabled workloads for a global food corporation. This role requires a hands-on technical leader who can translate business and data requirements into scalable Databricks-based solutions while ensuring robust governance, performance, and operational resilience. The ideal candidate will combine deep Databricks expertise with strong architecture leadership and the ability to operate within a managed service delivery model.

Responsibilities

Lead the architecture, design, and implementation of Databricks-based data platforms, pipelines, and AI/ML workloads.

Define scalable lakehouse patterns using core Databricks capabilities such as Apache Spark, Delta Lake, Databricks SQL, MLflow, and governance components.

Design robust batch and streaming data pipelines for high-volume, business-critical workloads.

Establish architecture standards for performance optimization, workload orchestration, reliability, observability, and cost control.

Translate business and technical requirements into solution blueprints, reference architectures, and implementation roadmaps.

Collaborate with data engineers, analysts, data scientists, DevOps teams, and business stakeholders to deliver end-to-end solutions.

Ensure strong data governance, security, and compliance practices across the Databricks environment.

Support AI and advanced analytics use cases by enabling reliable feature engineering, model lifecycle practices, and production-ready data foundations.

Provide technical leadership during solution delivery, troubleshooting, and optimization of existing workloads.

Act as a trusted advisor to client stakeholders, offering recommendations on architecture decisions, risks, trade-offs, and delivery priorities.

Skills

Must have

Deep hands-on expertise with the Databricks platform, including architecture, workspace design, cluster strategy, jobs orchestration, and platform optimization.

Strong command of Apache Spark and distributed data processing concepts, including performance tuning and optimization for complex data engineering workloads.

Proven experience designing and delivering enterprise data solutions using Delta Lake and lakehouse architecture principles.

Strong proficiency in Python and SQL; Scala is an advantage.

Demonstrated capability in building and optimizing ETL/ELT pipelines, data models, and large-scale ingestion frameworks.

Experience supporting AI/ML workloads on Databricks, including MLflow, model lifecycle considerations, and production-ready data preparation.

Solid knowledge of cloud-native architecture patterns on AWS, Azure, or GCP, including storage, networking, identity, and security integration.

Experience with data governance, access control, lineage, and compliance frameworks in enterprise environments.

Familiarity with CI/CD, infrastructure-as-code, monitoring, and operational best practices for data platforms.

Ability to engage in deep technical problem-solving and contribute immediately to complex delivery scenarios with minimal ramp-up time.

Nice to have

Databricks certifications relevant to data engineering, machine learning, or platform architecture.

Experience in large enterprise or global delivery environments with complex stakeholder landscapes.

Background in consumer goods, manufacturing, supply chain, or similarly data-intensive industries.

Experience with real-time processing, orchestration frameworks, and integration with enterprise data ecosystems.

Strong communication skills with the ability to explain architecture decisions to both technical and non-technical stakeholders.

Other

Languages

Spanish: C1 Advanced,English: C1 Advanced

Seniority

Lead

Mexico City, Mexico

Req. VR-122964

Data Architecture

Cross Industry Solutions

25/05/2026

Req. VR-122964

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Refina tu búsqueda

data scientist empleos en cuajimalpa, dif

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Senior Software Engineer, Windows/Desktop Applications - Mexico City, Mexico

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Quiero recibir la alerta de empleo más reciente para data scientist en cuajimalpa, dif

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