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# Snowflake platform lead

- **Company:** Spectraforce
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, ARM Architecture, Audit Trail, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Storage, Databases, Continuous Integration, Data Governance, Data Integration, Extract Transform Load (ETL), Data Retention, Data Warehousing, DevOps, Monitoring of Systems, Python (Programming Language), OAuth, Windows PowerShell, Role-Based Access Control, DataOps, SQL Databases, Talend, Backup and Restore, Scripting, Google Cloud, Azure Data Factory, Large Language Models, Snowflake, Caching, Information Technology, Terraform, Data Pipelines
- **Published:** August 28, 2026
- **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=b7993644-f191-450e-9d41-5532eec9e97c&OrgId=1&UserId=6557

## About the Role

* Experience: Typically 3-10+ years of IT experience, with 3-5+ years in Snowflake administration DataTerrain+2.
 * Technical Skills: Strong understanding of Snowflake architecture, SQL, data warehousing, and cloud platforms (AWS, Azure, GCP) DataTerrain+2.
 * Familiarity with Cortex Code and other LLM based coding accelerators
 * Security: Expertise in RBAC, RLS, CLS, encryption, and compliance controls
 * Tools: Experience with ETL/ELT tools, CI/CD, IaC (Terraform), and scripting languages

Years of Experience: 12.00 Years of Experience

## Description

A Snowflake Platform Lead is responsible for managing, optimizing, and securing Snowflake's cloud data platform to ensure high performance, scalability, and reliability of data operations.

Core Responsibilities

 * Environment Management: Administer and configure Snowflake accounts, warehouses, databases, schemas, roles, tasks, stages, streams, and pipes to meet organizational needs
 * Performance & Cost Optimization: Monitor system performance, query execution, and workload management; tune warehouse sizes, clustering, partitioning, and caching strategies to improve efficiency and control costs
 * Security & Access Control: Implement and manage Role-Based Access Control (RBAC), Row-Level Security (RLS), Column-Level Security (CLS), encryption, masking policies, and integrate with SSO/OAuth/MFA for secure access
 * Data Integration & ETL: Support data ingestion pipelines using tools like Informatica, Talend, DBT, or Azure Data Factory; manage cloud storage integrations (AWS S3, Azure Blob, GCP) and ensure data quality
 * Backup & Disaster Recovery: Plan and manage backup strategies, failover, and data retention policies, leveraging Snowflake's built-in capabilities DataTerrain+1.
 * Automation & DevOps: Develop automation scripts (Python, Shell, PowerShell) and implement CI/CD pipelines using Terraform, Azure DevOps, or other IaC frameworks
 * Monitoring & Troubleshooting: Monitor system health, performance metrics, and usage; troubleshoot data load failures, query issues, and performance bottlenecks .
 * Governance & Compliance: Ensure compliance with data security standards (SOC2, HIPAA, GDPR), maintain audit logs, and implement data governance policies
 * Collaboration: Work closely with data engineers, analysts, and business teams; provide technical support and training on Snowflake features


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