Platform Engineer (Snowflake Platform)

About This Role

This engineering role focuses on ensuring the stability, availability, security, and operational excellence of the enterprise data platform, with a particular emphasis on Snowflake administration. The engineer will support production, manage deployments, drive automation, and ensure governance, working closely with various data, infrastructure, security, and business teams to maintain mission-critical data environments.

Responsibilities

• Administer and support Snowflake environments across Production, QA, Development, and Disaster Recovery (DR)
• Manage user provisioning, role-based access controls (RBAC), service accounts, warehouses, databases, schemas, and platform configurations
• Ensure platform security, governance, and compliance standards are maintained
• Monitor platform health, performance, utilization, costs, and operational alerts
• Troubleshoot production incidents, perform root cause analysis, and drive issues through resolution
• Support operational activities including ServiceNow requests, incidents, changes, and releases
• Maintain high availability and reliability for business-critical data platforms
• Execute and support deployments across Snowflake, DBT, Matillion, Streamlit, Control-M, and related technologies
• Manage release processes and change management activities following operational best practices
• Partner with engineering teams to ensure successful production implementations
• Develop and maintain automation solutions using Python, SQL, REST APIs, and GitHub
• Enhance operational efficiency through scripting, monitoring, and process optimization
• Identify and implement improvements that increase platform reliability, scalability, and customer experience
• Support audits, access certifications, compliance reviews, and security assessments
• Create and maintain operational documentation including SOPs, runbooks, knowledge articles, and support procedures
• Ensure operational standards are consistently followed across the platform
• Partner with Data Engineering, Infrastructure, Security, and Business stakeholders to resolve issues and support platform initiatives
• Provide technical expertise and operational guidance across teams
• Support evolving business priorities and cross-functional operational needs

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field, or equivalent work experience
• 5+ years of experience in Data Platform Operations, Snowflake Administration, Cloud Operations, or related areas
• Experience supporting mission-critical production environments
• Strong analytical, troubleshooting, and problem-solving skills
• Demonstrated ability to take ownership and independently drive operational initiatives
• Excellent communication and customer service skills
• Snowflake Administration & Operations
• Advanced SQL
• Python Scripting & Automation
• GitHub and CI/CD Processes
• ServiceNow
• Incident, Change, and Release Management
• Performance Monitoring & Troubleshooting
• AWS Cloud Platform
• SnowPro Core Certification

Nice to have:

• DBT
• Matillion
• Streamlit
• Snowpark
• Control-M
• Autosys
• DevOps Methodologies
• REST APIs
• DataOps Practices
• Monitoring Tools (Datadog)
• SnowPro Advanced Administrator
• SnowPro Advanced Data Engineer
• SnowPro Architect

Benefits

• Opportunity to work with enterprise-scale data platforms supporting mission-critical business operations
• Exposure to cutting-edge cloud data technologies including Snowflake, DataOps, automation frameworks, and cloud-native architectures
• Collaboration with global Data Engineering, Cloud, Infrastructure, Security, and Operations teams
• Access to certifications, technical academies, and continuous learning opportunities focused on Snowflake, Cloud, Data Engineering, and Automation
• Career growth within Capgemini's global Data & AI practice
• Opportunity to drive operational excellence, automation, governance, and platform reliability initiatives
• Innovative, inclusive, and collaborative work environment focused on modern data and cloud technologies

Career Development

• Access to learning paths, technical certifications, mentorship programs, leadership development initiatives, and technical communities designed to accelerate your growth in Data Engineering, Cloud Platforms, Snowflake technologies, and Data Operations

Community Engagement

• Participate in innovation programs, technical forums, hackathons, communities of practice, knowledge-sharing initiatives, and collaboration opportunities across Capgemini's global Data & AI network

Work Environment

• Join a highly collaborative team focused on operational excellence, platform reliability, automation, and continuous improvement while supporting business-critical data ecosystems

About the Company

Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. The Group is a responsible and diverse organization with more than 340,000 team members in over 50 countries. With a strong heritage of over 55 years, Capgemini is trusted by its clients to unlock the value of technology through end-to-end services and solutions, from strategy and design to engineering. Capgemini leverages market-leading capabilities in Cloud, Data, Artificial Intelligence, and Digital Engineering combined with deep industry expertise and strong partner ecosystems. At Capgemini Mexico, the company is committed to creating a diverse and inclusive workplace where everyone has equal opportunities.