> Markdown version of [/jobs/ext/3661787-senior-snowflake-developer](https://www.wearedevelopers.com/jobs/ext/3661787-senior-snowflake-developer). 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).

---

# Senior Snowflake Developer

- **Company:** NuAxis Innovations
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Analysis, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Python (Programming Language), Role-Based Access Control, Azure Data Lake, Software Engineering, SQL Stored Procedures, SQL Databases, Cloud Platform System, Azure Data Factory, Sql Optimization, Snowflake, Caching, Information Technology, Star Schema, Dynamic Data, Terraform, Data Pipelines
- **Published:** October 9, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9229779/senior-snowflake-developer

## About the Role

· Minimum Education: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field. Two (2) years of specialized experience may substitute for one (1) year of the academic requirement.

· Minimum Experience: Five (5) to eight (8) years of data engineering experience, including at least three (3) years of hands-on Snowflake delivery.

· Certifications - Required: SnowPro Core Certification.

· Certifications - Obtainable After Hire: SnowPro Advanced: Data Engineer, within 180 days of assignment.

· Certifications - Preferred: SnowPro Advanced: Architect; dbt Analytics Engineering Certification; AWS or Azure data certification.

· Required Skills: Snowflake platform engineering; advanced SQL; dimensional and analytical data modeling; ELT and ETL design; performance and cost optimization; data security controls.

· Preferred Skills: dbt; Python; cloud data platform integration; data governance frameworks.
Technical Environment

Snowflake virtual warehouses, streams, tasks, dynamic tables, and Snowpark; advanced SQL and stored procedures; dbt; Python; Apache Airflow; Fivetran or Matillion ingestion; Amazon S3 and Azure Data Lake Storage; Snowflake RBAC, dynamic data masking, and row access policies; Time Travel and zero-copy cloning; Terraform for platform provisioning.

## Description

Designs and optimizes Snowflake data pipelines, data models, and platform performance. Owns warehouse design standards, cost optimization, and secure data delivery patterns.
Key Responsibilities

· Design Snowflake schemas, data models, and ELT pipeline architectures.

· Develop and tune complex SQL, stored procedures, streams, tasks, and dynamic tables.

· Optimize warehouse sizing, clustering, caching, and credit consumption.

· Implement data security controls including role hierarchies, masking policies, and row access policies.

· Integrate Snowflake with upstream sources and downstream analytics and BI consumers.