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Cloud Infrastructure Manager
2 weeks ago
Job Description:
Snowflake Administration is a vital role in managing, optimizing, and securing the Snowflake Data Cloud environment. As a skilled Snowflake Administrator, you will work closely with data engineers, architects, analysts, and business stakeholders to ensure high availability, scalability, and cost efficiency of data platform.
Key Responsibilities:
- Manage Snowflake accounts, users, roles, and permissions following RBAC principles.
- Monitor query performance, optimize warehouses, and tune workloads to ensure efficient execution.
- Oversee databases, schemas, tables, and data pipelines in Snowflake.
- Implement security best practices including encryption, data masking, network policies, and audit logging.
- Develop scripts for monitoring, alerting, and automating administrative tasks (SQL, Python, PowerShell, etc.).
- Track warehouse utilization, storage, and query performance; identify and resolve performance bottlenecks.
- Manage compute and storage costs by monitoring consumption and implementing optimization strategies.
- Apply patches, monitor Snowflake updates, and ensure minimal downtime.
- Support integrations with ETL/ELT tools, BI platforms, and cloud services (AWS, Azure, GCP).
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent work experience).
- 2+ years of experience as a Snowflake Administrator.
- Strong knowledge of Snowflake features: Virtual Warehouses, Clustering, Time Travel, Data Sharing, Resource Monitors, Tasks, Streams.
- Proficiency in SQL and scripting (Python, Shell, PowerShell).
- Experience with cloud platforms (AWS, Azure, or GCP) and integrations.
- Familiarity with ETL/ELT tools (Airbyte, dbt, Fivetran, etc.).
- Knowledge of data security & governance practices (RBAC, PII handling, compliance frameworks).
Preferred Skills and Qualifications:
- SnowPro Core or SnowPro Advanced certification.
- Experience with Terraform, Ansible, or other IaC tools.
- Familiarity with Datadog, Splunk, or other monitoring tools.
- Hands-on experience in DevOps / CI-CD pipelines for data workflows.
Soft Skills:
- Strong problem-solving and analytical thinking.
- Ability to manage multiple tasks in a fast-paced environment.
- Excellent collaboration skills to work across teams.
