20 publicaciones de empleo destacadas de databricks data en progreso nacional, dif (¡Están contratando!)

Databricks Architect
Luxoft —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés
Senior Data Scientist
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- SQL
- Sin título de educación superior
Competitive Intelligence Analyst
Teradata —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Experiencia en ventas
- Licenciatura
Postulación rápida
Senior Analytics Engineer
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en bases de datos
- SQL
- Python
14d
Machine Learning Engineer
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $50,000 a $85,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- Experiencia en bases de datos
Postulación rápida
1d
Senior Software Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Desarrollo de software
Senior Data Platform Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
10d
Data Engineer 1
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
Senior Business Intelligence Analyst
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Maestría
- SQL
Senior Business Analyst
Kroll —Ciudad de México, CDMX
- Tiempo completo
- Liderazgo
AI First Data Architect
PALO IT —Ciudad de México, CDMX
- Azure
- DevOps
- Java
Postulación rápida
Especialista en Ingeniería de Datos Azure
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $60,000 a $80,000 por mes
- Tiempo completo
- Azure
- Inglés
- SQL
Postulación rápida
13d
EY GDS Mexico - Senior Data Engineer
EY —Miguel Hidalgo, CDMX
- Azure
- Administración de personal
- DevOps
Ingeniero Senior, Ciencia de Datos
Constellation Brands —Ciudad de México, CDMX
- Tiempo completo
- Informática
- ERP systems
- Inglés
8d
AI Engineer
SDG Group —Ciudad de México, CDMX
- Español
- Azure
- Doctorado
Postulación rápida
Senior AI Scientist
MetLife —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
- Seguro de vida
Software Development Specialist
NTT Ltd —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
3d
Consultor/a de datos en Azure
SDG Group —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Postulación rápida
Senior Software Engineer (Python + Distributed systems)
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- CAD
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
SAP BOE Technical Specialist
Zurich Insurance —Ciudad de México, CDMX
- Tiempo completo
- Azure
- SQL
- Linux

Quiero recibir la alerta de empleo más reciente para databricks data en progreso nacional, 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

English: C1 Advanced

Seniority

Lead

Mexico City, Mexico

Req. VR-122964

Data Architecture

Cross Industry Solutions

18/06/2026

Req. VR-122964

Postúlate ahora

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