Data Architect (Snowflake / DBT / Salesforce)
Location: Remote (Office is in Mountain Time Zone)
Duration: 6-Month Contract
Hours: 40 Hours/Week
Rate: $95/hr - $135/hr dependent on experience
**we WON'T be engaging agencies or third parties on this role**
About the Opportunity
Our client is seeking a highly capable Data Architect to lead the design and implementation of critical data initiatives supporting financial reporting, analytics, and AI-driven business intelligence.
This is a high-visibility role working directly with senior leadership, including the CTO and CFO, to accelerate strategic data projects already committed for delivery this year.
The environment is modern and cloud-based, centered around Snowflake, dbt, Salesforce, and emerging AI-powered analytics capabilities. The organization has recently deployed tools such as Microsoft Copilot and Claude across the business and is actively leveraging Snowflake Cortex to support analytics and self-service reporting.
The ideal candidate is a hands-on architect who can quickly understand business requirements, translate them into scalable data models, and execute with minimal oversight.
What You'll Do
Design and implement enterprise data models supporting financial and operational reporting.
Architect scalable Snowflake data warehouse solutions.
Transform raw Salesforce data into well-structured analytical models.
Build and enhance fact and dimension models for reporting and BI initiatives.
Develop and maintain dbt transformations and data pipelines.
Expand semantic models and data structures that support AI-driven analytics.
Work closely with business and technical stakeholders to define reporting requirements.
Partner with internal BI resources to deliver high-impact reporting solutions.
Apply software engineering best practices throughout the data development lifecycle.
Deliver iterative solutions quickly while maintaining strong data quality standards.
Required Qualifications
8+ years of experience in Data Architecture, Analytics Engineering, or Data Engineering.
Deep expertise with Snowflake architecture and data modeling.
Strong hands-on experience with dbt.
Advanced SQL skills with the ability to write, troubleshoot, and optimize complex queries.
Experience designing dimensional models including facts, dimensions, and semantic layers.
Experience working with Salesforce data architecture, reporting structures, and business processes.
Strong understanding of data warehouse design and modern analytics platforms.
Ability to operate independently in a fast-paced environment with minimal direction.
Excellent communication skills and ability to collaborate with both technical and business stakeholders.
Preferred Qualifications
Experience supporting financial reporting and finance-related data models.
Experience working with Snowflake Cortex or AI-enabled analytics environments.
Background in retail, enterprise SaaS, or large-scale commercial organizations.
Experience modernizing enterprise reporting environments.
Engineering Culture
This team places a strong emphasis on software engineering discipline and best practices.
Candidates should be comfortable with:
Git
Git Flow
Pull Requests
Peer Reviews
CI/CD pipelines
Version-controlled analytics engineering workflows
Working within established development standards and repositories

Data Architect (Snowflake, dbt, Salesforce) - Remote

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