Senior Data Platform Engineer — AI‑Driven Cloud

BoehringerPRD; Buenos Aires; On-site; ARS 121,164,000 - 212,038,000; Full time

Job summary

Boehringer Ingelheim seeks a Data Platform Engineer to design, build, and operate cloud-native platform services on AWS and Snowflake. You will develop scalable data ingestion and processing solutions, implement event-driven architectures, and create reusable components and APIs to boost engineering productivity.

The role emphasizes automation, CI/CD, IaC, observability, and collaboration with data engineers, security, and business stakeholders to advance data and AI initiatives across the

Qualifications

• Strong hands-on experience designing and implementing cloud-native solutions on AWS and Snowflake.
• Proficiency in Java, Python and SQL, with production-grade software delivery.
• Experience with CI/CD pipelines, IaC, and observability tooling.
• Understanding of event-driven architectures and scalable integration patterns.

Responsibilities

• Design, build, and operate cloud-native platform services on AWS and Snowflake.
• Develop scalable software for data ingestion, processing, and consumption.
• Implement event-driven architectures and robust integration patterns.
• Build reusable platform components, APIs, and automation to improve productivity.
• Automate provisioning, deployment, monitoring, and operational processes.
• Contribute to platform architecture, standards, and engineering best practices.
• Develop CI/CD pipelines and Infrastructure-as-Code solutions.
• Implement observability, logging, and alerting across services.
• Collaborate with data engineers, security teams, and stakeholders to deliver platform solutions.
• Apply AI-assisted development practices to improve productivity and quality.

Skills

AWS

Snowflake

Java / Python

CI/CD

Kubernetes

APIs

Event-driven

IaC

Git

Tools

Jenkins

Docker

Kubernetes/OpenShift

dbt

Apache Airflow

Git

Job description

Boehringer Ingelheim seeks a Data Platform Engineer to design, build, and operate cloud-native platform services on AWS and Snowflake. You will develop scalable data ingestion and processing solutions, implement event-driven architectures, and create reusable components and APIs to boost engineering productivity.

The role emphasizes automation, CI/CD, IaC, observability, and collaboration with data engineers, security, and business stakeholders to advance data and AI initiatives across the