Job Overview

Lead IT Data Engineer role focuses on building and optimizing modern data platforms, including real‑time streaming pipelines that are cost‑optimized for cloud resources. The position 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 for Tyson’s manufacturing footprint.

Key Responsibilities Design and orchestrate complex data pipelines and ETL/ELT processes using Python, SQL, dbt, Airflow, or Dagster. Architect scalable data solutions on platforms such as Big Query, Delta Lake, Iceberg, and event‑driven streaming architectures (Kafka, Flink, Pub/Sub). Design enterprise‑wide data models (dimensional, multi‑dimensional, ERDs) ensuring consistency and alignment with business processes. Define and implement data contracts and APIs for reliable interfaces between data producers and consumers. Establish and enforce data governance, security, cataloging, and stewardship standards across all data and AI systems. Optimize cloud costs on AWS, GCP or Azure through efficient architecture and resource management. Implement CI/CD pipelines for data workflows and manage containerized workloads with Docker, Kubernetes and Ia C (Terraform). Drive data observability, including proactive monitoring, alerting, and automated detection of freshness, volume, and schema drift issues. Lead code reviews, establish coding standards and supervise agentic AI architectures and multi‑agent systems that automate data engineering workflows. Collaborate with data scientists, AI engineers and other stakeholders to deliver end‑to‑end solutions. Engage directly with customer stakeholders, from consumers to technical teams and executives. Qualifications Bachelor’s degree or equivalent experience.



3+ years of practical data engineering experience. Preferred certifications: AWS Solutions Architect Professional, Google Professional Data Engineer, Databricks Certified Data Engineer Professional, or equivalent. Special Skills Proficiency in Python and SQL for data engineering at scale. Expertise in modern data platforms (Databricks, Snowflake, Big Query), lakehouse architectures (Delta Lake, Iceberg), and streaming (Kafka, Flink, Pub/Sub). Hands‑on experience with orchestration (Airflow, Dagster), transformation (dbt), containerization (Docker, K8s), and Ia C (Terraform). Advanced data modeling, warehousing, dimensional modeling, and data contracts. CI/CD, data observability, governance, and cataloging expertise. Advanced agentic AI architectures, multi‑agent systems, LLMOps, RAG pipelines, and AI safety/guardrails. Analytical problem‑solving skills across technical and non‑technical domains. Strong collaboration in cross‑functional teams and adaptability to changing objectives. Soft Skills Project management of complex data and AI initiatives from concept to delivery. Mentorship of team members in technical and professional growth. Strategic thinking that aligns data and AI solutions with organizational goals. Excellent communication with technical and non‑technical stakeholders. Problem‑solving and resolution of complex system challenges. Adaptability to rapidly evolving technologies. Creativity in pipeline design, modeling, and AI automation. Customer obsession and collaborative teamwork. Other Information Relocation assistance: No. Work shift: Must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.

Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status. #J-18808-Ljbffr

📌 Lead it data engineer mxt (Coahuila de Zaragoza)
🏢 Tyson Mexico
📍 Coahuila de Zaragoza