Quick overview
SeniorityMid Senior
Work modeHybrid
LocationAddison, TX, United States
SQLGitSnowflakePythondbtAzureCI/CDAzure DevOpsAzure Data Factory
Job 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.
Key Responsibilities
- 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
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