Vedan Technologies
Snowflake Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Data Architect in Houston, TX (Hybrid) on a contract basis, offering competitive pay. Key skills include Snowflake architecture, SQL, ELT pipelines with Matillion and Python, and experience with AWS, Azure, or GCP.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
February 10, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
-
🧠 - Skills detailed
#Data Storage #SQL (Structured Query Language) #Data Pipeline #Snowflake #Python #Documentation #AWS (Amazon Web Services) #Data Engineering #Complex Queries #Data Accuracy #"ETL (Extract #Transform #Load)" #Security #SQL Queries #Data Quality #Data Transformations #dbt (data build tool) #Cloud #GCP (Google Cloud Platform) #Data Modeling #Matillion #Storage #Azure #Scala #Data Extraction #Datasets #Data Architecture
Role description
Job Title: Snowflake Data Architect
Location: Houston, TX (Hybrid)
Contract Role
Job Summary
We are seeking an experienced Snowflake Data Architect to design, build, and optimize modern cloud-based data solutions. The ideal candidate will have deep expertise in Snowflake architecture, data modeling, and ELT pipelines, and will work closely with stakeholders to deliver scalable, reliable, and well-documented data platforms for analytics and reporting.
Key Responsibilities
• Design, implement, and optimize data models in Snowflake to ensure efficient data storage, performance, and retrieval.
• Architect and maintain ETL/ELT data pipelines using Matillion and Python, ensuring data accuracy, reliability, and scalability.
• Develop and manage data transformations using dbt, creating curated, analytics-ready datasets.
• Write and optimize complex SQL queries for data extraction, transformation, and loading processes.
• Deploy, manage, and monitor cloud-based data infrastructure across AWS, Azure, or GCP environments.
• Ensure data quality, consistency, and governance across all data pipelines and platforms.
• Collaborate with business and technical stakeholders to gather requirements and translate them into scalable data solutions.
• Create and maintain technical documentation for data architectures, pipelines, and transformation logic.
• Apply best practices for performance tuning, cost optimization, and security within Snowflake.
Required Skills & Qualifications
• Strong hands-on experience with Snowflake data Engineer and data modeling.
• Proficiency in SQL, including complex queries and performance tuning.
• Experience building ELT pipelines using Matillion and Python.
• Strong experience with dbt for data transformation and modeling.
• Hands-on experience deploying and managing data platforms on AWS, Azure, or GCP.
• Solid understanding of data warehousing concepts and analytics architectures.
• Experience working with large-scale, high-volume datasets.
• Strong collaboration, communication, and documentation skills.
Job Title: Snowflake Data Architect
Location: Houston, TX (Hybrid)
Contract Role
Job Summary
We are seeking an experienced Snowflake Data Architect to design, build, and optimize modern cloud-based data solutions. The ideal candidate will have deep expertise in Snowflake architecture, data modeling, and ELT pipelines, and will work closely with stakeholders to deliver scalable, reliable, and well-documented data platforms for analytics and reporting.
Key Responsibilities
• Design, implement, and optimize data models in Snowflake to ensure efficient data storage, performance, and retrieval.
• Architect and maintain ETL/ELT data pipelines using Matillion and Python, ensuring data accuracy, reliability, and scalability.
• Develop and manage data transformations using dbt, creating curated, analytics-ready datasets.
• Write and optimize complex SQL queries for data extraction, transformation, and loading processes.
• Deploy, manage, and monitor cloud-based data infrastructure across AWS, Azure, or GCP environments.
• Ensure data quality, consistency, and governance across all data pipelines and platforms.
• Collaborate with business and technical stakeholders to gather requirements and translate them into scalable data solutions.
• Create and maintain technical documentation for data architectures, pipelines, and transformation logic.
• Apply best practices for performance tuning, cost optimization, and security within Snowflake.
Required Skills & Qualifications
• Strong hands-on experience with Snowflake data Engineer and data modeling.
• Proficiency in SQL, including complex queries and performance tuning.
• Experience building ELT pipelines using Matillion and Python.
• Strong experience with dbt for data transformation and modeling.
• Hands-on experience deploying and managing data platforms on AWS, Azure, or GCP.
• Solid understanding of data warehousing concepts and analytics architectures.
• Experience working with large-scale, high-volume datasets.
• Strong collaboration, communication, and documentation skills.
