Platform Engineer (Snowflake Platform)

The Senior Data Operations Engineer is responsible for ensuring the stability, availability, security, and operational excellence of the enterprise data platform. This role focuses on Snowflake administration, production support, platform operations, deployment management, automation, governance, and continuous improvement. The engineer will work closely with Data Engineering, Infrastructure, Security, and Business teams to support mission-critical data environments while driving reliability, efficiency, and customer satisfaction.
Key Responsibilities
Snowflake Platform Administration
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.
Production Support & Operations
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.
Deployment & Release Management
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.
Automation & Continuous Improvement
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.
Governance & Documentation
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.
Cross-Functional Collaboration
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.
Required Qualifications
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.
Required Technical 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
Preferred Skills
DBT
Matillion
Streamlit
Snowpark
Control-M
Autosys
DevOps Methodologies
REST APIs
DataOps Practices
Monitoring Tools (Datadog)
Certifications
Required
SnowPro Core Certification
Preferred
SnowPro Advanced Administrator
SnowPro Advanced Data Engineer
SnowPro Architect
Success Factors
Strong sense of ownership and accountability.
Customer-first mindset with a focus on service excellence.
Excellent verbal and written communication skills.
Strong collaboration and stakeholder management abilities.
Continuous learning and improvement mindset.
Flexibility to support cross-functional initiatives and evolving business priorities.
CAP Skills
Mandatory Skills
Snowflake Administration
SnowPro Core Certification
SQL
Python
AWS
ServiceNow
CI/CD
GitHub
Incident Management
Change Management
Release Management
RBAC & Access Control
Production Support
Troubleshooting
Nice to Have
DBT
Matillion
Streamlit
Snowpark
Control-M
Autosys
Datadog
REST APIs
DevOps
DataOps
What You'll Love
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.
Need to Know
Career Development in Spanish & English
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 Capgemini
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, we are committed to creating a diverse and inclusive workplace where everyone has equal opportunities. All applications are welcome and will be considered based on merit, qualifications, and experience relevant to the role.