VBeyond Corporation
Data Architect with Data Vault
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with Data Vault expertise, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include Data Vault 2.0, data modeling, and experience with Snowflake, Airflow, and Python.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 27, 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
Oaks, PA
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🧠 - Skills detailed
#dbt (data build tool) #EDW (Enterprise Data Warehouse) #Scala #Slowly Changing Dimensions #Vault #Data Mart #Dimensional Modelling #Data Vault #Python #Snowflake #Data Architecture #Data Warehouse #Data Engineering #Airflow #Data Pipeline
Role description
• A minimum of 10 years of hands‑on experience in Data Warehousing, Data Engineering, and Data Architecture, with proven delivery of production‑grade enterprise data platforms
• Experience with data warehousing tools and technologies.
• Strong, hands‑on experience with Data Vault 2.0 in enterprise data warehouses, including practical implementation of Hubs, Links, and Satellites
• Strong knowledge of Raw Vault, Business Vault, and Information/Data Mart design
• Solid grounding in dimensional modelling (Kimball) including Star and Snowflake schemas, fact and dimension table design along with slowly changing dimensions and hybrid DW architectures.
• Hands‑on experience designing scalable, auditable, and historized data models that support enterprise reporting and analytics needs
• Ability to hit the ground running with minimal ramp‑up on DW concepts
• Experience building and managing data pipelines using Snowflake, Airflow, DBT, and Python, following modern ELT patterns
Note – VBeyond is fully committed to Diversity and Equal Employment Opportunity.
• A minimum of 10 years of hands‑on experience in Data Warehousing, Data Engineering, and Data Architecture, with proven delivery of production‑grade enterprise data platforms
• Experience with data warehousing tools and technologies.
• Strong, hands‑on experience with Data Vault 2.0 in enterprise data warehouses, including practical implementation of Hubs, Links, and Satellites
• Strong knowledge of Raw Vault, Business Vault, and Information/Data Mart design
• Solid grounding in dimensional modelling (Kimball) including Star and Snowflake schemas, fact and dimension table design along with slowly changing dimensions and hybrid DW architectures.
• Hands‑on experience designing scalable, auditable, and historized data models that support enterprise reporting and analytics needs
• Ability to hit the ground running with minimal ramp‑up on DW concepts
• Experience building and managing data pipelines using Snowflake, Airflow, DBT, and Python, following modern ELT patterns
Note – VBeyond is fully committed to Diversity and Equal Employment Opportunity.
