AWS Data & AI Solutions Architect — Client-Facing

One Data Software Solutions; Ciudad de México; On-site; MXN 700,000 - 1,200,000; Full time

Job summary

One Data Software Solutions is seeking an experienced cloud data architect to design and deliver data and AI solutions on AWS for customers in Mexico, Colombia, and the United States. You will own the technical design, defend it with customer leadership, and stay engaged during execution with engineering teams.

You will collaborate with AWS partner teams and have exposure to Well-Architected reviews and certification paths, focusing on architecture and customer conversations rather than tickets.

Qualifications

• 2–5 years in cloud engineering or architecture, with at least 2 years designing solutions on AWS.
• Demonstrated production experience building data platforms on AWS — not just certification knowledge.
• Direct client-facing experience: you have run technical workshops, presented architecture to stakeholders, and handled hard questions in the room.
• Familiarity with governance and security considerations for data workloads in regulated environments

Responsibilities

• Own the technical design of data and AI solutions from discovery through delivery.
• Defend architecture in front of a customer's technical leadership.
• Work directly with AWS Partner Development and Partner Solutions Architect contacts.
• Lead architecture discussions and guide the engineering team during implementation

Skills

Cloud architecture

Client-facing

AWS data services

SQL

Python/PySpark

Tools

Terraform

AWS CDK

Airflow

Job description

One Data Software Solutions is seeking an experienced cloud data architect to design and deliver data and AI solutions on AWS for customers in Mexico, Colombia, and the United States. You will own the technical design, defend it with customer leadership, and stay engaged during execution with engineering teams.

You will collaborate with AWS partner teams and have exposure to Well-Architected reviews and certification paths, focusing on architecture and customer conversations rather than tickets.