Senior Data & AI Architect - Enterprise AI Platform Lead

spin; Ciudad de México; On-site; MXN 1,800,000 - 3,000,000; Full time

Job summary

Spin is seeking a Senior Staff Data & AI Architect to spearhead the evolution of its data and AI ecosystem. You will architect modular, interoperable systems bridging engineering, data modeling, and ML across business domains, guiding infrastructure and governance to enable enterprise-scale AI.

You will lead platform Architecture for Databricks on AWS, govern standards, and mentor global teams to deliver high-impact, scalable solutions in an AI-first organization.

Qualifications

• Bachelor's or Master's degree required in a technical field such as Computer Science, Software or Systems Engineering, AI, Data Science, or related.

Responsibilities

• Define, maintain, and communicate the target-state data and AI architecture and multi-year technology roadmap.
• Chair design authority forums and architecture review processes; document decisions with ADRs and cost/risk trade-offs.
• Assess the existing platform landscape to identify debt, redundancy, and gaps; sponsor optimization initiatives.
• Develop and govern reference architectures, design patterns, and engineering guidelines (medallion, data contracts, data products, event-driven design).
• Design composable architectures with defined interfaces (APIs, event streams) enabling integration with platforms and partners.
• Own the architecture of the Databricks Data Intelligence Platform (Unity Catalog, Delta Lake, Workflows) and its AWS integration.
• Lead enterprise AI architecture including model lifecycle, feature engineering, model registry, serving, and safety controls.
• Provide architectural direction for Retail and Fintech use cases with high-volume, low-latency workloads.
• Incorporate data privacy, security, lineage, auditability, and Responsible AI principles into designs.
• Mentor Architects, Data Engineers, Data Modelers, DataOps, and ML Engineers; drive communities of practice.

Education

Bachelor's or Master's degree in Computer Science, Software or Systems Engineering, Artificial Intelligence, Data Science, or a related field.

Job description

Spin is seeking a Senior Staff Data & AI Architect to spearhead the evolution of its data and AI ecosystem. You will architect modular, interoperable systems bridging engineering, data modeling, and ML across business domains, guiding infrastructure and governance to enable enterprise-scale AI.

You will lead platform Architecture for Databricks on AWS, govern standards, and mentor global teams to deliver high-impact, scalable solutions in an AI-first organization.