Snowflake Architect

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Architect in Jersey City, NY, with a contract length of over 6 months and a pay rate of "TBD." Key skills include Snowflake, DBT, SQL performance tuning, and data modeling. Banking or financial services experience is preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 27, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#SnowSQL #Cloud #Code Reviews #Automation #Data Architecture #Data Governance #Version Control #Snowflake #AWS (Amazon Web Services) #SQL (Structured Query Language) #Data Engineering #Monitoring #Clustering #Data Modeling #Deployment #Oracle #Documentation #Azure #Oracle Exadata #Scala #"ETL (Extract #Transform #Load)" #Data Pipeline #Data Warehouse #dbt (data build tool) #GCP (Google Cloud Platform)
Role description
Job Title: Snowflake Architect – Snowflake & DBT Modernization Location: Jersey City, NY – 3-4 Days onsite Job Type: Fulltime/W2/C2C Key Responsibilities: β€’ Architecture Review & Optimization β€’ Assess the current Snowflake-based data platform architecture. β€’ Identify bottlenecks and inefficiencies in data transformation and processing. β€’ Recommend architectural improvements for scalability, performance, and cost-efficiency. β€’ Code & SQL Review β€’ Conduct detailed reviews of DBT models, SnowSQL scripts, and transformation logic. β€’ Validate adherence to best practices in modularity, reusability, and performance tuning. β€’ Suggest improvements for query optimization and resource utilization. β€’ Performance Tuning β€’ Analyze slow-running queries and transformation pipelines. β€’ Implement strategies for warehouse sizing, clustering, caching, and materialization. β€’ Guide the team on Snowflake-specific performance features (e.g., result caching, automatic clustering). β€’ Best Practices & Governance β€’ Establish coding standards and naming conventions for DBT and SnowSQL. β€’ Define data governance, lineage, and documentation practices. β€’ Recommend monitoring and alerting mechanisms for data pipeline health. β€’ Collaboration & Mentorship β€’ Work closely with data engineers, analysts, and platform teams. β€’ Mentor junior developers on Snowflake and DBT development. β€’ Participate in sprint planning, code reviews, and architectural discussions. Required Skills & Experience: β€’ Proven experience as a Cloud Data Architect or Senior Data Engineer in Snowflake and other Cloud DB environments. β€’ Strong hands-on expertise in DBT, SnowSQL, and SQL performance tuning. β€’ Familiarity with Oracle Exadata and PL/SQL is a plus for comparative analysis. β€’ 10+ years’ experience in data modeling (logical and physical), ETL/ELT design, and designing and implementing data warehouse, performance tuning and optimization. β€’ Understanding of CI/CD pipelines, version control, and deployment automation. β€’ Excellent communication skills and ability to translate technical findings into actionable recommendations. Preferred Qualifications: β€’ Snowflake Architect Certification, DBT Certification. β€’ Experience in banking or financial services data platforms. β€’ Exposure to cloud platforms like AWS, Azure, or GCP.