Snowflake Platform Engineer (Hybrid) – Secure, Scalable Data

Capgemini; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Well-being culture

Training tracks

Performance feedback

Hybrid working

Job summary

Capgemini Poland in Warsaw is seeking a Snowflake Administrator / Data Platform Engineer to join a large enterprise data initiative. You will own Snowflake environments, manage security, governance, and CI/CD pipelines.

Collaborate with Data Engineers and DevOps, optimize performance, and implement data ingestion, transformations, and data products using Snowflake features like Snowpipe, Tasks, and dbt.

Qualifications

• Hands-on Snowflake administration in complex enterprise environments.
• Strong understanding of Snowflake security, RBAC, performance optimization, monitoring, and operational best practices.

Responsibilities

• Administer and support enterprise-scale Snowflake environments.
• Manage users, roles, permissions, and security policies based on RBAC.
• Monitor platform performance, resource utilization, and cost optimization.
• Manage Snowflake accounts, databases, virtual warehouses, data sharing, and Marketplace configurations.
• Support automation initiatives, CI/CD processes, and Infrastructure as Code practices.
• Investigate and resolve platform, connectivity, security, and performance issues.
• Contribute to data governance standards and platform best practices.
• Support Data Engineering activities including data ingestion, transformation, orchestration, and data product development.
• Work with Snowflake features such as Snowpipe, Tasks, Dynamic Tables, Snowpark, SQL, and dbt.

Skills

Snowflake admin

RBAC security

Advanced SQL

Python scripting

Data engineering

Cloud familiarity

Job description

Capgemini Poland in Warsaw is seeking a Snowflake Administrator / Data Platform Engineer to join a large enterprise data initiative. You will own Snowflake environments, manage security, governance, and CI/CD pipelines.

Collaborate with Data Engineers and DevOps, optimize performance, and implement data ingestion, transformations, and data products using Snowflake features like Snowpipe, Tasks, and dbt.