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Resident Solutions Architect — Mexico City/Guadalajara

Menlo Ventures

Xico

Híbrido

MXN 1,440,000 - 1,801,000

Jornada completa

Hace 2 días
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Descripción de la vacante

A leading data and AI company is seeking a Resident Solutions Architect to manage impactful customer engagements primarily around big data challenges. You will leverage cloud technologies, mentor clients on architecture and design, and ensure successful project delivery. The ideal candidate has extensive experience in data engineering, including proficiency in Python or Scala, and knowledge of cloud ecosystems like AWS, Azure, or GCP. This role requires up to 30% travel and offers comprehensive benefits.

Servicios

Comprehensive benefits
Diversity and inclusion commitment

Formación

  • 6+ years experience in data engineering, data platforms, and analytics.
  • Comfortable writing code in either Python or Scala.
  • Working knowledge of AWS, Azure, or GCP with expertise in at least one.
  • Deep experience with distributed computing using Apache Spark.
  • Familiarity with CI/CD for production deployments.
  • Knowledge of MLOps.
  • Design and deployment of performant end-to-end data architectures.
  • Experience with technical project delivery and managing scope.

Responsabilidades

  • Handle various impactful technical projects with customers.
  • Work with managers to scope a range of professional services.
  • Guide customers in implementing transformational big data projects.
  • Consult on architecture and design.
  • Provide escalated support for customer operational issues.

Conocimientos

Data engineering
Python coding
Scala coding
Cloud ecosystems knowledge
Distributed computing with Apache Spark
CI/CD
MLOps
Technical project delivery
Client management
Descripción del empleo
A leading data and AI company is seeking a Resident Solutions Architect to manage impactful customer engagements primarily around big data challenges. You will leverage cloud technologies, mentor clients on architecture and design, and ensure successful project delivery. The ideal candidate has extensive experience in data engineering, including proficiency in Python or Scala, and knowledge of cloud ecosystems like AWS, Azure, or GCP. This role requires up to 30% travel and offers comprehensive benefits.
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