Principal System Engineer

Boehringer Ingelheim; Buenos Aires; Hybrid; ARS 1,800,000 - 3,000,000; Full time

Job summary

Boer hringer Ingelheim seeks a Snowflake Platform Engineer to operate and evolve a global data platform. You will secure, automate, and scale Snowflake on AWS, partnering with engineering to optimize workloads and enable data-driven decisions across functions.

Deep Snowflake expertise, cloud engineering skills, and strong Python/SQL development are essential. The role emphasizes governance, observability, and collaboration across distributed teams in a hybrid environment.

Qualifications

• Strong hands-on experience administering and operating Snowflake in enterprise environments.
• Deep understanding of Snowflake architecture: Virtual Warehouses, Storage & Compute, Security & RBAC, Data Sharing, Streams & Tasks, Snowpipe.
• Experience implementing Snowflake security and governance controls; Snowflake certification is desirable.
• Strong Python, SQL development skills and automation experience; familiarity with IaC and CI/CD practices.

Responsibilities

• Administer, operate, and improve the enterprise Snowflake platform and its automations.
• Manage Snowflake security, roles, access controls, authentication, and governance.
• Monitor platform health, performance, availability, and cost efficiency.
• Support platform scalability, reliability, and operational excellence across global environments.
• Design and implement automation for provisioning, configuration, monitoring, and operations.
• Troubleshoot Snowflake incidents and performance issues.
• Collaborate with data engineering to optimize workloads and data pipelines.
• Support CI/CD and Infrastructure-as-Code for deployment and management.
• Contribute to architecture, roadmaps, and best practices for Snowflake and AWS.
• Implement observability, monitoring, alerting, and dashboards.
• Support event-driven and data integration patterns for scalable data movement.
• Create and maintain technical documentation and standards.

Skills

Snowflake administration

Cloud engineering

Python

SQL

Automation

CI/CD

Platform observability

Stakeholder communication

Tools

Snowflake

AWS

Lambda

SQS

EventBridge

API Gateway

ECS

Terraform

Job description

The Position

At Boehringer Ingelheim, data is a strategic asset that helps accelerate innovation and improve outcomes for patients around the world. Our global Data Platforms team provides the foundation that enables thousands of users, applications, and analytics solutions to access trusted and scalable data products.

As a Snowflake Platform Engineer, you will play a key role in operating, securing, and evolving one of the company's largest enterprise data platforms. Working with modern cloud technologies such as Snowflake and AWS, you will help deliver a reliable, scalable, and automated data ecosystem that empowers business functions and IT teams globally. Beyond platform operations and engineering, you will serve as a Snowflake subject matter expert, helping teams adopt best practices, solve complex challenges, and maximize the value of the platform.

This is an opportunity to combine deep Snowflake expertise with cloud engineering, automation, technical consulting, platform enablement, and modern software engineering practices while influencing the future direction of our data platform landscape.

Tasks and responsibilities

• Administer, operate, and continuously improve the enterprise Snowflake platform and its automations and integrated components, while helping engineering teams maximize platform adoption and value realization.

• Manage Snowflake security, roles, access controls, authentication, and governance controls.

• Monitor platform health, performance, availability, and cost efficiency.

• Support platform scalability, reliability, and operational excellence across global environments.

• Design and implement automation for platform provisioning, configuration, monitoring, and operational processes.

• Troubleshoot and resolve Snowflake platform incidents and performance issues.

• Collaborate with data engineering teams to optimize workloads, data pipelines, and data consumption patterns.

• Support CI/CD processes and Infrastructure-as-Code practices for platform deployment and management.

• Contribute to platform architecture and roadmap activities, and best-practice recommendations for Snowflake and AWS services.

• Implement and maintain platform observability, monitoring, alerting, and operational dashboards.

• Support event-driven and data integration patterns that enable scalable data movement.

• Create and maintain technical documentation, standards, and operational procedures.

• Contribute to continuous platform improvements, automation initiatives, and engineering best practices.

Requirements

Snowflake Expertise (Primary Requirement)

• Strong hands‑on experience administering and operating Snowflake in enterprise environments.

• Deep understanding of Snowflake architecture, including:

• Virtual Warehouses;

• Storage & Compute Architecture;

• Resource Monitors;

• Security & RBAC;

• Data Sharing;

• Streams & Tasks;

• Snowpipe;

• Performance Optimization;

• Cost Management.

• Experience implementing Snowflake security and governance controls.

• Experience troubleshooting platform, security, and performance issues.

• Snowflake certification is highly desirable.

Cloud & Platform Engineering

• Strong knowledge of AWS cloud services and architecture.

• Experience with:

• IAM Roles and Policies;

• Lambda;

• SQS;

• EventBridge;

• API Gateway;

• ECS.

• Understanding of cloud security principles and platform operations.

• Experience integrating Snowflake with cloud-native services.

Software Engineering & Automation

• Strong Python, Java and SQL development skills.

• Experience building automation and operational tooling.

• Understanding of software engineering best practices:

• Version Control (Git);

• Code Reviews;

• Testing;

• Maintainable Design.

• Experience with Infrastructure as Code and platform automation.

• Familiarity with event-driven and streaming architectures.

• Strong analytical and problem-solving skills.

• Ownership mindset with a focus on operational excellence.

• Ability to collaborate effectively with globally distributed teams.

• Strong communication skills with both technical and non-technical stakeholders.

• Continuous improvement mindset and passion for automation.

• Fluent English, written and spoken.

JOB ID

38321

Job function

Information technology

Career level

Experienced professionals

Organization

Boehringer Ingelheim S.A.

Working time

Full-Time

Job flexibility

Hybrid

Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients, and communities. All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law