Cloud Data Architect — AI-Driven Data Platforms

Slalom; Región Centro; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Slalom is seeking a Data Architect in Mexico to join our Data Architecture & Engineering team. You'll design scalable data architectures and contribute hands-on to data pipelines on AWS, Azure, and Google Cloud.

You will collaborate with clients to translate business needs into technical solutions, lead architectural discussions, and help advance AI-enabled data engineering initiatives across modern cloud platforms.

Formación

• Hands-on data engineer capable of delivering production-grade data solutions.
• Deep experience in data architecture and cloud data platforms.
• Experience with AWS, Azure, or Google Cloud and data warehousing.
• Strong client-facing communication and collaboration.
• Ability to lead architectural discussions and guide teams.
• Exposure to AI-accelerated data engineering and AI tools.
• Experience with Spark, Presto, Kafka, or similar.

Responsabilidades

• Design and evolve data architectures for client environments.
• Contribute to building data pipelines and platforms.
• Balance architectural ownership with day-to-day engineering.
• Collaborate with clients to translate requirements into solutions.
• Lead solution design and assist in pre-sales or proposals.
• Build solutions on modern cloud data platforms.
• Focus on data engineering and architecture outcomes.
• Explore AI-accelerated data engineering approaches.
• Start engagements in an engineering capacity and grow into ownership.

Conocimientos

Hands-on data engineer

Data architecture

Client-facing

Architectural leadership

AI-accelerated data engineering

Herramientas

AWS

Azure

GCP

Snowflake

Redshift

Databricks

Spark

Descripción del empleo

Slalom is seeking a Data Architect in Mexico to join our Data Architecture & Engineering team. You'll design scalable data architectures and contribute hands-on to data pipelines on AWS, Azure, and Google Cloud.

You will collaborate with clients to translate business needs into technical solutions, lead architectural discussions, and help advance AI-enabled data engineering initiatives across modern cloud platforms.