CloudIngest
Azure Cloud Data Architecture
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Cloud Data Architect with a contract length of "X months" and a pay rate of "$XX/hour." Key skills include Azure services, Data Vault 2.0, data modeling, and SQL. Industry experience in cloud data architecture is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 4, 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
Dunwoody, GA
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🧠 - Skills detailed
#Storage #Physical Data Model #Vault #Azure SQL #Cloud #Metadata #ADF (Azure Data Factory) #Azure cloud #SQL (Structured Query Language) #Azure Databricks #Synapse #Azure Data Factory #Data Vault #Data Architecture #ADLS (Azure Data Lake Storage) #Data Modeling #Scala #Snowflake #Databricks #BI (Business Intelligence) #Azure
Role description
Azure Cloud Data Architecture
• Design end‑to‑end data architectures using Azure services such as ADLS Gen2, Azure Synapse, Azure Databricks, Azure SQL, Azure Data Factory, Azure Event Hub, Azure Functions, and Azure Purview.
• Develop scalable lakehouse and data mesh architectures aligned with enterprise standards.
• Define best practices for storage layers (Raw/Bronze, Curated/Silver, Semantic/Gold).
Data Modeling & Data Vault
• Lead the design of Data Vault 2.0 models including Hubs, Links, Satellites, PIT tables, and Bridge tables.
• Build conceptual, logical, and physical data models for enterprise analytics.
• Implement dimensional models (Star/Snowflake) for BI and reporting layers.
• Ensure modeling standards, naming conventions, and metadata practices are followed.
Azure Cloud Data Architecture
• Design end‑to‑end data architectures using Azure services such as ADLS Gen2, Azure Synapse, Azure Databricks, Azure SQL, Azure Data Factory, Azure Event Hub, Azure Functions, and Azure Purview.
• Develop scalable lakehouse and data mesh architectures aligned with enterprise standards.
• Define best practices for storage layers (Raw/Bronze, Curated/Silver, Semantic/Gold).
Data Modeling & Data Vault
• Lead the design of Data Vault 2.0 models including Hubs, Links, Satellites, PIT tables, and Bridge tables.
• Build conceptual, logical, and physical data models for enterprise analytics.
• Implement dimensional models (Star/Snowflake) for BI and reporting layers.
• Ensure modeling standards, naming conventions, and metadata practices are followed.
