Platform Engineer (Snowflake Platform)

Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

• •Design and develop platform automation solutions using Snowflake, Python, SQL, Streamlit, and GitHub .
• •Build and enhance enterprise capabilities for:

• •Access Management Frameworks
• •Data Classification & Tagging
• •Dynamic Data Masking
• •Governance Applications
• •AI Agents and Snowflake Cortex Solutions

• •Develop POCs, accelerators, and reusable platform services for Data Engineering and Analytics teams.
• •Implement secure data-sharing solutions, multi-account Snowflake architectures, and automated deployment frameworks.
• •Create CI/CD pipelines, GitHub Actions, and automated release processes.
• •Evaluate emerging Snowflake capabilities and recommend adoption strategies to improve platform efficiency and reduce operational costs.
• •Develop monitoring, troubleshooting, and RCA automation solutions for enterprise data products.
• •Partner with Architecture, Governance, Data Engineering, and Operations teams to deliver enterprise platform improvements.
• •Follow SDLC, audit, change management, and segregation-of-duty requirements across all platform initiatives.

Your Profile

• •7+ years of experience in Data Platform Engineering, Cloud Engineering, or Snowflake Engineering.
• •Strong expertise in:
• •Snowflake Administration
• •RBAC, Roles, Grants, Warehouses, Resource Monitors
• •Authentication Policies, Network Policies, Service Accounts
• •Snowflake Streams, Tasks, Dynamic Tables, Stored Procedures and Secure Shares
• •Python Development and Automation
• •SQL Performance Tuning and Query Optimization
• •GitHub, CI/CD, and DevOps Practices
• •Streamlit and Snowflake Cortex
• •Datadog or Enterprise Monitoring Tools
• •Experience with dbt, Matillion, Fivetran, Striim, and Control-M.
• •Strong troubleshooting, root cause analysis, and production support experience.
• •SnowPro Core Certification (Required).
• •SnowPro Advanced Administrator or Architect Certification (Preferred).
• •Experience with AI/ML enablement, Snowflake Cortex, AI Agents, and governance automation.
• •Experience in highly regulated SOX/SOC audit environments.

What you’ll love

Empowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges.

Growth and Learning at Every Step: Access continuous learning through internal academies, certifications and mentorship.

Own your growth: Open access to digital learning platforms

About Capgemini

Capgemini (Footer)

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of

over 420,000 team members in more than 50 countries. We deliver end-toend services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome

and will be considered based on merit against the job and/or experience for the position

Job Description

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Job Description - Grade Specific

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.