GCP Data Platform Lead & Security Engineer

Tyson Foods; Torreón; On-site; MXN 1,200,000 - 1,800,000; Full time

Job summary

Tyson Foods is seeking a Lead IT Operations Developer to oversee advanced GCP data platform operations, security, and platform engineering. The role focuses on production support, security remediation, and continuous platform improvement to protect critical datasets.

The candidate will lead incident response, optimize BigQuery workloads, and drive IAM governance while mentoring junior engineers and coordinating across data engineering, security, and application teams.

Qualifications

• Bachelor's degree in CS, MIS, or a related field preferred.
• Google Cloud Professional Data Engineer and/or Professional Cloud Security Engineer certifications preferred.
• 5+ years of experience in GCP data platform engineering, cloud security, and operations support.

Responsibilities

• Provide advanced support for GCP data platform services (BigQuery, Cloud Composer, Pub/Sub, Firestore, Dataflow).
• Design and operate enterprise data security controls with row/column-level protections.
• Diagnose and resolve complex platform issues, coordinating across teams.
• Drive security hardening, vulnerability remediation, and compliance alignment.
• Monitor performance and optimize BigQuery workloads and costs.
• Govern IAM and maintain least-privilege access.
• Lead changes via ServiceNow and ensure safe deployment processes.
• Document configurations, security architecture, and runbooks.
• Mentor engineers and foster knowledge transfer.
• Identify automation opportunities to improve efficiency.

Skills

GCP data platform

Data security

Platform operations

SQL

Python

GoLang

Leadership

Education

Bachelor's Degree or relevant experience

Tools

BigQuery

Cloud Composer

Pub/Sub

Firestore

Dataflow

Cloud Run

Job description

Tyson Foods is seeking a Lead IT Operations Developer to oversee advanced GCP data platform operations, security, and platform engineering. The role focuses on production support, security remediation, and continuous platform improvement to protect critical datasets.

The candidate will lead incident response, optimize BigQuery workloads, and drive IAM governance while mentoring junior engineers and coordinating across data engineering, security, and application teams.