29 days ago
Aguascalientes, MexicoSenior
Responsibilities
- Administer Snowflake environments across production, QA, development, and disaster recovery.
- Manage user provisioning, RBAC, service accounts, warehouses, databases, schemas, security, governance, and platform configurations.
- Monitor platform health, performance, utilization, costs, and operational alerts.
- Troubleshoot production incidents, perform root cause analysis, and drive issues through resolution.
- Support ServiceNow requests, incidents, changes, releases, and production deployments.
- Execute and support deployments across Snowflake, DBT, Matillion, Streamlit, Control-M, and related technologies.
- Develop and maintain automation using Python, SQL, REST APIs, and GitHub.
- Support audits, access certifications, compliance reviews, security assessments, and operational documentation.
- Collaborate with Data Engineering, Infrastructure, Security, and business stakeholders on platform initiatives and operational improvements.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent work experience.
- At least 5 years of experience in Data Platform Operations, Snowflake Administration, Cloud Operations, or related areas.
- Experience supporting mission-critical production environments.
- Strong analytical, troubleshooting, problem-solving, ownership, communication, customer service, and stakeholder collaboration skills.
- Snowflake administration and operations experience, advanced SQL, Python scripting and automation, GitHub, CI/CD processes, ServiceNow, incident/change/release management, performance monitoring, troubleshooting, and AWS experience.
- Required SnowPro Core Certification.
- Preferred qualifications include SnowPro Advanced Administrator, SnowPro Advanced Data Engineer, or SnowPro Architect certification; DBT, Matillion, Streamlit, Snowpark, Control-M, Autosys, Datadog, REST APIs, DevOps, and DataOps experience.
Benefits
- Access to certifications, technical academies, mentorship, technical communities, and continuous learning opportunities.
- Career growth within Capgemini’s global Data & AI practice.
- Opportunities to work with enterprise-scale data platforms, cloud data technologies, automation frameworks, and cloud-native architectures.
- Collaboration with global Data Engineering, Cloud, Infrastructure, Security, and Operations teams.
- Innovative, inclusive, and collaborative work environment focused on platform reliability, automation, governance, and continuous improvement.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.