> Markdown version of [/jobs/ext/3370357-snowflake-platform-admin-data-engineer](https://www.wearedevelopers.com/jobs/ext/3370357-snowflake-platform-admin-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Snowflake Platform Admin & Data Engineer - **Company:** CYNET SYSTEMS INC. - **Location:** Fort Mill, SC, United States - **Experience:** Experienced - **Salary:** $114,400.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Airflow, Amazon S3, Microsoft Azure, Mobile Application Development, Cloud Database, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Masking, Data Security, Data Sharing, Disaster Recovery, Github, Identity and Access Management, Python (Programming Language), Role-Based Access Control, SQL Stored Procedures, SQL Databases, User Provisioning Software, Scripting, Data Ingestion, Snowflake, Software Troubleshooting, AWS Lambda, Gitlab-ci, Information Technology, Optimization Algorithms, AWS Glue, Dynamic Data, Database Replication, Functional Programming, Cloudwatch, Terraform, Data Pipelines - **Published:** September 14, 2026 - **Apply:** https://www.dice.com/job-detail/ba67e093-fff9-4c2c-93c9-a8b6dae424db ## About the Role * 8+ years of IT experience with at least 4+ years of hands-on Snowflake experience. * Strong expertise in Snowflake administration and platform management. * Hands-on experience with AWS Glue and cloud-based data engineering solutions. * Advanced proficiency in SQL and Python. * Experience managing RBAC and security frameworks. * Experience managing Snowflake account administration. * Experience managing data replication and disaster recovery. * Experience managing data masking and governance controls. * Strong understanding of Snowflake architecture, virtual warehouses, storage, compute, and optimization techniques. * Experience with AWS services such as S3, IAM, CloudWatch, Lambda, and Secrets Manager. * Strong troubleshooting, problem-solving, and analytical skills. * Willingness to work from Fort Mill, SC and collaborate with global teams as required., * Experience with Apache Airflow for orchestration. * Knowledge of Snowpark, Snowpipe, Data Sharing, and Native Applications. * Experience with Terraform and Infrastructure as Code. * Experience with CI/CD tools such as GitHub Actions, GitLab CI/CD, or Azure DevOps. * SnowPro Core Certification. * SnowPro Advanced Architect. * SnowPro Advanced Data Engineer. * Experience with data governance, compliance, and enterprise security frameworks. * AWS Lambda. Skills: * Snowflake Administration. * Snowflake Data Engineering. * AWS Glue. * SQL. * Python. * Strong verbal and written communication skills. * Excellent communication and presentation skills. Qualification And Education: * 8+ years of IT experience. * 4+ years of hands-on Snowflake experience. ## Description * Administer and support enterprise Snowflake environments across development, testing, and production. * Manage Snowflake account setup, user provisioning, roles, permissions, and Role-Based Access Control (RBAC). * Implement and maintain security controls including SSO, MFA, dynamic data masking, row-level security, and secure data sharing. * Configure and monitor resource monitors, virtual warehouses, and workload management to optimize platform performance and cost. * Design and manage cross-region replication, disaster recovery, and business continuity solutions. * Monitor platform health, troubleshoot issues, and provide proactive recommendations for improvement. * Design, develop, and maintain scalable ETL/ELT pipelines using AWS Glue and Snowflake. * Build and optimize data ingestion frameworks from multiple cloud and on-premises data sources. * Develop data models, transformations, and data warehouse solutions to support analytics and reporting. * Leverage Snowflake features including Snowpipe, Streams, Tasks, Stored Procedures, Time Travel, and Zero-Copy Cloning. * Implement data quality, validation, and monitoring processes. * Analyze query performance and optimize Snowflake workloads. * Monitor warehouse utilization and implement strategies to reduce operational costs. * Tune data pipelines, SQL queries, and storage utilization for maximum efficiency. * Establish platform standards, governance policies, and best practices. * Develop CI/CD pipelines for Snowflake deployments and data engineering solutions. * Automate administrative and operational activities using Python, SnowSQL, and scripting frameworks. * Support Infrastructure as Code (IaC) initiatives using Terraform or similar technologies.