

ISITE TECHNOLOGIES
Databricks Architect-Irvine, CA /Plano, TX(W2/GC,USC)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Architect with 8+ years in analytics architecture, requiring expertise in dimensional modeling, Lakehouse environments, and Power BI. Contract length is unspecified; pay rate is W2/GC,USC, and work is located in Irvine, CA or Plano, TX.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#Data Architecture #Schema Design #Data Management #Data Lineage #Metadata #Vault #Databricks #Azure Databricks #BI (Business Intelligence) #Azure #AI (Artificial Intelligence) #Microsoft Power BI #MDM (Master Data Management) #Semantic Models #Data Modeling #Data Governance #Cloud #Data Quality #Data Vault
Role description
Required Qualifications
• 8+ years of experience in analytics architecture, BI solutions, semantic modeling, or data architecture.
• Deep expertise in dimensional modeling, star schema design, semantic layer design, business metrics standardization, and analytical data modeling.
• Strong experience designing and governing Silver and Gold layer architectures within a modern Lakehouse environment.
• Experience developing data models optimized for Power BI, Databricks, self-service analytics, and AI-powered analytics solutions.
• Strong experience with Power BI Semantic Models, Databricks Metric Views, Unity Catalog, or equivalent semantic technologies.
• Understanding of modern Lakehouse principles, including Bronze, Silver, and Gold data architecture patterns.
• Experience designing business-facing analytics products and self-service analytics solutions.
• Understanding of natural language query, conversational analytics, Agentic AI, and AI-enabled decision intelligence.
• Experience with Azure, Databricks, cloud-native analytics platforms, and enterprise BI ecosystems.
• Strong communication skills with the ability to bridge business and technical stakeholders
Preferred Qualifications
• Experience with Microsoft Copilot, Databricks Genie, Agentic AI frameworks, AI agents, or Decision Intelligence platforms.
• Experience defining enterprise semantic layer strategies and KPI governance frameworks.
• Knowledge of data governance, metadata management, data lineage, data quality, and master data management.
• Experience implementing Databricks Lakehouse architecture and enterprise analytics modernization programs.
• Experience building analytics products that support AI copilots and conversational analytics experiences.
• Familiarity with Data Vault, dimensional modeling, medallion architecture, and data product design concepts.
Required Qualifications
• 8+ years of experience in analytics architecture, BI solutions, semantic modeling, or data architecture.
• Deep expertise in dimensional modeling, star schema design, semantic layer design, business metrics standardization, and analytical data modeling.
• Strong experience designing and governing Silver and Gold layer architectures within a modern Lakehouse environment.
• Experience developing data models optimized for Power BI, Databricks, self-service analytics, and AI-powered analytics solutions.
• Strong experience with Power BI Semantic Models, Databricks Metric Views, Unity Catalog, or equivalent semantic technologies.
• Understanding of modern Lakehouse principles, including Bronze, Silver, and Gold data architecture patterns.
• Experience designing business-facing analytics products and self-service analytics solutions.
• Understanding of natural language query, conversational analytics, Agentic AI, and AI-enabled decision intelligence.
• Experience with Azure, Databricks, cloud-native analytics platforms, and enterprise BI ecosystems.
• Strong communication skills with the ability to bridge business and technical stakeholders
Preferred Qualifications
• Experience with Microsoft Copilot, Databricks Genie, Agentic AI frameworks, AI agents, or Decision Intelligence platforms.
• Experience defining enterprise semantic layer strategies and KPI governance frameworks.
• Knowledge of data governance, metadata management, data lineage, data quality, and master data management.
• Experience implementing Databricks Lakehouse architecture and enterprise analytics modernization programs.
• Experience building analytics products that support AI copilots and conversational analytics experiences.
• Familiarity with Data Vault, dimensional modeling, medallion architecture, and data product design concepts.






