CCS Global Tech
Snowflake Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Modeler/Data Architect with a contract length of "unknown," offering a pay rate of "unknown." Candidates must have strong experience in Snowflake, data modeling, and real-time data processing, along with relevant documentation skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 24, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas-Fort Worth Metroplex
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🧠 - Skills detailed
#Logical Data Model #Data Quality #Data Processing #Physical Data Model #SnowPipe #Data Warehouse #Documentation #Data Modeling #Snowflake #Data Lake #Data Architecture
Role description
Job Title: Senior Data Modeler / Data Architect
We are looking for a strong Senior Data Modeler / Data Architect to support the Data Modeling team. The ideal candidate should have hands-on experience with modern data architecture, Snowflake, data modeling, and real-time data processing.
Key Responsibilities:
• Create and maintain Logical Data Models (LDMs) and Physical Data Models (PDMs).
• Develop Source-to-Target (S2T) mappings and data architecture documentation.
• Support data architecture using Data Lake, Data Mesh, Data Warehouse, and Medallion Architecture concepts.
• Work with Snowflake features such as Snowpipe, Streams, and CDC.
• Apply data modeling standards including 3NF and data quality best practices.
• Support real-time data and large-scale parallel data projects.
Required Skills:
• Strong experience in Data Modeling / Data Architecture.
• Hands-on experience with Snowflake.
• Knowledge of LDM, PDM, 3NF, S2T, and data quality practices.
• Understanding of Data Lake, Data Mesh, Data Warehouse, and Medallion Architecture.
• Experience with real-time data, CDC, Snowpipe, and Streams.
• Strong documentation and communication skills.
Job Title: Senior Data Modeler / Data Architect
We are looking for a strong Senior Data Modeler / Data Architect to support the Data Modeling team. The ideal candidate should have hands-on experience with modern data architecture, Snowflake, data modeling, and real-time data processing.
Key Responsibilities:
• Create and maintain Logical Data Models (LDMs) and Physical Data Models (PDMs).
• Develop Source-to-Target (S2T) mappings and data architecture documentation.
• Support data architecture using Data Lake, Data Mesh, Data Warehouse, and Medallion Architecture concepts.
• Work with Snowflake features such as Snowpipe, Streams, and CDC.
• Apply data modeling standards including 3NF and data quality best practices.
• Support real-time data and large-scale parallel data projects.
Required Skills:
• Strong experience in Data Modeling / Data Architecture.
• Hands-on experience with Snowflake.
• Knowledge of LDM, PDM, 3NF, S2T, and data quality practices.
• Understanding of Data Lake, Data Mesh, Data Warehouse, and Medallion Architecture.
• Experience with real-time data, CDC, Snowpipe, and Streams.
• Strong documentation and communication skills.
