AI-Driven Cloud Data Architect

Slalom; Monterrey; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Slalom is a technology and consulting partner helping clients accelerate digital transformation. The Data Architecture & Engineering team builds data platforms and AI-enabled data solutions across AWS, Azure, and GCP.

This role emphasizes data engineering, architecture ownership, and delivering scalable, production-grade pipelines in client engagements. You’ll work closely with engineers, architects, and client stakeholders to translate requirements into practical data architectures,

Formación

• Hands-on data engineering delivery.
• Designing scalable data platforms and pipelines.
• Experience with modern cloud data ecosystems (AWS/Azure/GCP).
• Ability to translate business needs into data architecture solutions.
• Exposure to AI-accelerated data engineering approaches.

Responsabilidades

• Design and evolve data architectures for client environments.
• Contribute to building, coding, and implementing data pipelines and platforms.
• Guide technical direction while participating in day-to-day engineering work.
• Collaborate with clients to understand requirements and translate them into data solutions.
• Lead solution design and technical discovery, including pre-sales support where applicable.
• Build solutions on modern cloud data platforms and distributed processing frameworks.
• Focus on data engineering and data architecture outcomes.

Conocimientos

Hands-on data engineer

Data architecture

Cloud data ecosystems

Client-facing

AI‑accelerated data engineering

Educación

Bachelor’s in CS/Engineering/Math or similar

Herramientas

AWS

Azure

GCP

Descripción del empleo

Slalom is a technology and consulting partner helping clients accelerate digital transformation. The Data Architecture & Engineering team builds data platforms and AI-enabled data solutions across AWS, Azure, and GCP.

This role emphasizes data engineering, architecture ownership, and delivering scalable, production-grade pipelines in client engagements. You’ll work closely with engineers, architects, and client stakeholders to translate requirements into practical data architectures,