Snowflake Administrator (Data Platform Engineer)

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage and over 420,000 team members in 50+ countries. Its Insights & Data practice works with global clients to design, build, and operate scalable data ecosystems across various industries, delivering data-driven transformation and advanced analytics solutions.

• Extensive hands-on experience administering Snowflake in complex enterprise environments.
• Strong understanding of Snowflake security, RBAC, performance optimization, monitoring, and operational best practices.
• Advanced SQL skills and experience with large-scale data environments.
• Experience with automation and scripting, preferably using Python.
• Strong understanding of modern Data Engineering concepts and cloud-based data platforms.
• Interest in combining platform administration with Data Engineering activities.
• Experience designing and implementing secure, scalable, and governed data platform solutions.
• Familiarity with cloud environments such as Azure and/or AWS.
• Knowledge of CI/CD practices and Infrastructure as Code approaches.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in collaborative, cross-functional teams and take ownership of platform stability and continuous improvement.

• Administer and support enterprise-scale Snowflake environments.
• Manage users, roles, permissions, and security policies based on RBAC principles.
• Monitor platform performance, resource utilization, and consumption to ensure efficiency and cost optimization.
• Manage Snowflake accounts, databases, virtual warehouses, data sharing configurations, and Marketplace integrations.
• Support automation initiatives, CI/CD processes, and Infrastructure as Code practices.
• Investigate and resolve platform, connectivity, security, and performance-related issues.
• Contribute to the implementation and maintenance of data governance standards and platform best practices.
• Support Data Engineering activities including data ingestion, transformation, orchestration, and data product development.
• Work with modern Snowflake capabilities such as Snowpipe, Tasks, Dynamic Tables, Snowpark, SQL, and dbt.
• Collaborate closely with Data Engineers, Architects, DevOps teams, and business stakeholders to ensure platform reliability and continuous improvement.

Capgemini is committed to diversity and inclusion, ensuring fairness in employment practices by evaluating individuals based on qualifications and performance, not personal characteristics.