• The Sr. Data Platform Engineer will be focused on Cargill's Data Engineering Frameworks.
• Take the lead in building the data and analytics platform for modern business applications.
• Apply in-depth knowledge of modern infrastructure and cloud software engineering practices.
• Build, secure, and maintain core capabilities used by data and application teams.
• Coach and mentor junior engineers to deliver highly scalable systems using infrastructure as code.

Requirements

Bachelor’s degree or equivalent experience
4+ years in relevant roles
Built internal tools/frameworks for team enablement
Designed scalable batch data platforms (real-time a plus)
CI/CD and cloud automation (Jenkins, GitHub Actions, etc.)
Infra as code (Terraform, CloudFormation)
Cloud/serverless experience (AWS preferred)
Skilled in SQL, Python, Java
Experience with dbt, data modeling, and transformation tools
Orchestration tools (Airflow, Glue, Dagster, etc.)
Familiar with Docker, Kubernetes, Kafka, Flink
Knowledge of modern data stacks (Snowflake, Databricks)
Observability tools (Datadog, CloudWatch, Prometheus)
Open table formats and Lakehouse components (Iceberg, Glue, Lake Formation)
Strong documentation, mentoring, and collaboration skills
Agile mindset and critical thinking

🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.

Hard Skills

SQL
Python
Java
CI/CD
cloud automation
infrastructure as code
data modeling
transformation tools
orchestration tools
modern data stacks

Soft Skills

documentation
mentoring
collaboration
Agile mindset
critical thinking

Certifications & Qualifications

Bachelor’s degree

Senior Platform Engineer

Platform Engineer