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# Snowflake Data Architect

- **Company:** ClinDCast LLC
- **Location:** Wesley Chapel, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Continuous Integration, Data Architecture, Data Governance, Data Systems, Data Vault Modeling, Dimensional Modeling, Key Management, Role-Based Access Control, Enterprise Data Management, Pulumi, Azure Data Factory, Snowflake, Infrastructure as Code (IaC), Togaf, Data Layers, Deployment Automation, Physical Data Models, Data Pipelines
- **Published:** August 2, 2026
- **Apply:** https://www.dice.com/job-detail/253ff698-8de6-4ec9-93e9-d287d79172d3

## About the Role

We are seeking an experienced Snowflake Data Architect to design and implement scalable, secure, and high-performance data solutions. The ideal candidate will have expertise in Snowflake, Data Modeling, Azure Data Factory, and Data Mesh architecture, with experience in healthcare or life sciences environments., * 10+ years of experience in Data Architecture, including 3+ years with Snowflake.

 * Strong expertise in Snowflake, dimensional modeling, and Data Vault modeling.
 * Hands-on experience with Azure Data Factory, dbt, Azure Key Vault, and Pulumi.
 * Strong knowledge of Data Mesh architecture and data governance.
 * Experience with RBAC, Row-Level Security (RLS), column masking, and HIPAA/PHI/PII compliance.
 * Excellent analytical, communication, and problem-solving skills.

Preferred Skills:

 * SnowPro Advanced Certification.
 * Experience with Erwin or ER Studio.
 * TOGAF Certification.
 * Healthcare or Life Sciences domain experience.

## Description

* Design conceptual, logical, and physical data models for enterprise data platforms.
 * Develop and implement Snowflake architecture, including RAW, CURATED, and GOLD data layers.
 * Design and enforce RBAC, Row-Level Security (RLS), column masking, and data governance policies.
 * Build secure and scalable data solutions using Azure Data Factory, dbt, Azure Key Vault, and Infrastructure as Code (IaC).
 * Implement Data Mesh principles, including domain ownership, data products, and federated governance.
 * Support HIPAA, PHI/PII compliance, security reviews, and audit requirements.
 * Collaborate with cross-functional teams to define data architecture standards and CI/CD deployment strategies.
 * Review and optimize data pipelines, performance, and data quality.


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