Snowflake Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Data Architect with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Snowflake, DBT, SQL, data modeling, and data engineering. Experience in building scalable data architectures and pipelines is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 18, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Documentation #Monitoring #Data Quality #Data Science #SQL (Structured Query Language) #Data Engineering #Snowflake #Data Pipeline #Datasets #Security #dbt (data build tool) #Data Security #Data Modeling #Data Analysis #Scala #"ETL (Extract #Transform #Load)" #Data Ingestion #Data Architecture
Role description
Summary:
• We are seeking a highly experienced Data Architect/Senior Data Engineer with strong hands-on expertise in Snowflake, DBT, and SQL.
• The ideal candidate will play a key role in designing and optimizing scalable data architectures, building robust data pipelines, and enabling data analytics and reporting across the organization.
Key Responsibilities:
• Design, develop, and maintain scalable data models and pipelines using Snowflake and DBT.
• Build and optimize ELT processes to support data ingestion and transformation workflows.
• Create efficient, reusable SQL code to transform and analyze large datasets.
• Implement data quality checks, monitoring, and documentation practices.
• Collaborate with Data Analysts, Data Scientists, and Business Stakeholders to understand data requirements.
• Ensure data security, governance, and performance tuning within the Snowflake environment.
• Define and enforce data modeling and engineering standards and best practices.
Summary:
• We are seeking a highly experienced Data Architect/Senior Data Engineer with strong hands-on expertise in Snowflake, DBT, and SQL.
• The ideal candidate will play a key role in designing and optimizing scalable data architectures, building robust data pipelines, and enabling data analytics and reporting across the organization.
Key Responsibilities:
• Design, develop, and maintain scalable data models and pipelines using Snowflake and DBT.
• Build and optimize ELT processes to support data ingestion and transformation workflows.
• Create efficient, reusable SQL code to transform and analyze large datasets.
• Implement data quality checks, monitoring, and documentation practices.
• Collaborate with Data Analysts, Data Scientists, and Business Stakeholders to understand data requirements.
• Ensure data security, governance, and performance tuning within the Snowflake environment.
• Define and enforce data modeling and engineering standards and best practices.
