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# Database Architect (Snowflake)

- **Company:** Job Cloud Inc.
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $107,900.0 - $195,050.0
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Databases, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Security, JSON, Key Management, Role-Based Access Control, Parquet, Snowflake, Information Technology, Data Lineage, Dynamic Data, Restful APIs, Data Pipelines, Mulesoft
- **Published:** August 21, 2026
- **Apply:** https://www.careerjet.com/job/us19dc8687fee2c5ad7269a941c0206925/eaa

## About the Role

* Bachelor's degree in Computer Science, Data Engineering, or a related field.

 * 8+ years of enterprise data architecture experience, including 3+ years focused specifically on Snowflake.

 * SnowPro Core certification required; SnowPro Advanced Architect certification strongly preferred.

 * Demonstrated experience implementing governance and security controls in a regulated or federal environment (FISMA/NIST 800-53).

 * Hands-on experience with dbt, Snowpipe, and Streams and Tasks for pipeline orchestration.

 * Federal contracting experience preferred.

## Description

The Database Architect is the technical authority for Snowflake data foundation: architecture, data modeling, governance, and performance engineering. This role sets the standards that the Data Engineer and Data Scientist roles build against, ensuring the platform stays secure, performant, and cost-disciplined as data volumes and use cases grow.
Responsibilities

 * Design the target-state Snowflake architecture and data model for consolidating on-premise and cloud data sources.

 * Define and enforce governance and security controls: role-based access control, dynamic data masking, row-level security, data lineage, and cataloging aligned to FISMA and NIST SP 800-53.

 * Lead performance and cost engineering: warehouse right-sizing, clustering, materialized views, and workload isolation.

 * Set standards and review designs for the multi-source ingestion pipelines (Snowpipe, Streams and Tasks, dbt) built by the Data Engineering team.

 * Partner with the Integration Engineers on the Snowpark in-platform transformation approach that eliminates redundant data movement.

 * Serve as designated Key Personnel and be available for interview prior to award.

 * Design MuleSoft ingestion patterns using Snowpipe, Streams & Tasks and staging tables.

 * Implement Secure Data Sharing, External Functions and REST API enablement for MuleSoft consumption.

 * Implement secure views, Dynamic Data Masking and Row-Level Security.

 * Design S3 External Stages and AWS KMS encryption patterns.

 * Define staging formats including Parquet, JSON and ORC.


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