Job Details:

The Lead IT Data Engineer is an expert in building and optimizing modern data platforms, including real-time streaming pipelines that are cost-optimized for cloud resources. This role leads complex projects across data engineering, enterprise data modeling, and agentic AI — architecting scalable solutions, enforcing governance and security, and deploying AI-powered autonomous workflows that transform data engineering practices.

This position requires working side by side with users of the solution, understanding the opportunities, and rapidly iterating on the solution; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. You’ll work in small, agile teams and own the end-to-end execution and implementation of high-stakes projects for Tyson’s extensive manufacturing footprint. Very few companies provide the opportunity to work end-to-end projects and initiatives with such massive scale with significant could and data infrastructure already in place.

With over 100+ manufacturing facilities worldwide,



this position will be front and center influencing change and deploying technology to more than 100,000 team members.

Essential Duties And Responsibilities

Lead the design and orchestration of complex data pipelines and ETL/ELT processes using Python, SQL, and modern frameworks (e.g., dbt, Airflow, Dagster) for a $50B company.
Architect scalable data solutions using modern platforms ( BigQuery), lakehouse patterns (Delta Lake, Iceberg), and event-driven streaming architectures (Kafka, Flink, Pub/Sub).
Must be able to design enterprise-wide data models using advanced techniques — dimensional modeling, multi-dimensional modeling, ERDs — ensuring consistency and alignment with business processes.
Define and implement data contracts and APIs to ensure reliable interfaces between data producers and consumers.
Establish and enforce data governance, security, cataloging, and stewardship standar

📌 Lead IT Data Engineer MXT (Torreón)
🏢 Tyson Mexico
📍 Torreón