> Markdown version of [/jobs/ext/4670086-lead-snowflake-data-engineer](https://www.wearedevelopers.com/jobs/ext/4670086-lead-snowflake-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).

---

# Lead Snowflake Data Engineer

- **Company:** Virtual Tech Gurus
- **Location:** Addison, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Microsoft Azure, Code Review, Continuous Integration, Information Engineering, Data Warehousing, Python (Programming Language), Role-Based Access Control, Standard Sql, Azure Data Lake, Macros, Azure Data Factory, Snowflake, Git
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/77b59501-eff9-4eb1-a846-35c76c654cda

## About the Role

* 10+ years in data engineering or data warehousing, including 3+ years building and running dbt on Snowflake in production.
 * Strong SQL and dbt experience with incremental models, snapshots, macros, testing, and documentation.
 * Experience with dimensional and medallion modeling, including line-item corrections and adjustments.
 * Hands-on Snowflake security experience and knowledge of Streams and Tasks, Dynamic Tables, Time Travel, cloning, and warehouse sizing.
 * Experience owning production releases, conducting code reviews, and providing technical leadership.
 * Bachelor's degree in a relevant field or equivalent practical experience., * Healthcare claims, revenue-cycle data, X12/EDI, or experience with regulated data.
 * Azure Data Factory, ADLS Gen2, Azure DevOps, Python, or infrastructure as code.
 * Snowflake cost governance, FinOps, or SnowPro certification.

## Description

We are looking for a Lead Snowflake Data Engineer to lead the design, security, and development of an enterprise Snowflake platform. This hands-on role includes building production dbt models, establishing engineering standards, and mentoring the team., * Build Silver and Gold dbt models that transform source data into reliable datasets for reporting and analytics.

 * Own Snowflake platform architecture, environment design, and role hierarchies.
 * Protect sensitive data through RBAC, masking policies, and row access policies.
 * Manage Git and CI/CD workflows, including automated testing and controlled production releases.
 * Review code, mentor engineers, and optimize Snowflake performance and costs.