We are seeking a highly experienced Senior Snowflake Data Architect to support the continued evolution and optimization of our client's modern data platform. The role involves providing architectural leadership, hands-on data modeling expertise, and technical guidance to a team of two Data Engineers and one BI Engineer. The ideal candidate will have 8+ years of experience in Data Engineering/Data Architecture and strong hands-on experience with Snowflake.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
This is a remote position.
Senior Snowflake Data Architect (Consultant)Location: 100% Remote
Start Date: March (Flexible)
Engagement Type: Contract / Consulting
About the Engagement
We are seeking a highly experienced Senior Snowflake Data Architect to support the continued evolution and optimization of our client's modern data platform, supporting business intelligence and affiliate marketing analytics for their website.
The data platform is fully implemented with Snowflake, Kafka, and Confluent, operating within a structured Medallion Architecture (Bronze, Silver, Gold layers). Data ingestion and processing pipelines are functioning successfully. The current focus is optimizing the Gold layer to enhance performance, scalability, and analytical accuracy.
This engagement will provide architectural leadership, hands-on data modeling expertise, and technical guidance to a team of two Data Engineers and one BI Engineer.
Initial architecture assessment
Optimization roadmap
Hands-on implementation support
Team mentorship and best practice establishment
Ongoing advisory support as needed
1. Data Architecture & Modeling
Assess the current Snowflake environment and Medallion architecture
Review and optimize Gold layer data models
Design and implement scalable fact and dimension tables
Apply best practices in dimensional modeling (Kimball, star schema, snowflake schema where appropriate)
Improve query performance, cost efficiency, and maintainability
Optimize clustering, partitioning, and storage strategies in Snowflake
Improve query efficiency and warehouse utilization
Identify bottlenecks in transformation pipelines
Implement data governance and modeling standards
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Provide hands-on guidance to 2 Data Engineers and 1 BI Engineer
Establish modeling best practices and documentation standards
Review code, transformations, and architectural decisions
Support knowledge transfer and long-term capability building within the team
Translate affiliate marketing business requirements into scalable data models
Design analytics-ready structures to track:
Clicks
Payouts
Traffic sources
Visitor engagement
Affiliate performance metrics
Ensure models support BI reporting, dashboarding, and future growth
By the end of the engagement, we expect:
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Optimized Gold layer data models
High-performing fact/dimension schema
Improved query performance and cost efficiency
Clear documentation and modeling standards
Upskilled internal team with strong modeling foundations
Requirements
Required Experience & Qualifications
8+ years in Data Engineering / Data Architecture
Strong hands-on experience with Snowflake
Deep expertise in dimensional data modeling
Proven experience designing fact and dimension tables
Strong understanding of Medallion Architecture (Bronze/Silver/Gold)
Experience with streaming technologies such as Kafka and Confluent
Strong SQL and performance optimization skills
Experience mentoring technical teams
Ability to work independently in a remote consulting environment
Experience in affiliate marketing, digital publishing, or performance marketing analytics
Experience optimizing large-scale analytical workloads
Knowledge of BI tools and analytics workflows
Familiarity with modern ELT frameworks
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