Lorven Technologies Inc.
Senior Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Modeler in Los Angeles, California, requiring 15+ years of experience. The contract lasts 12+ months with a pay rate on C2C/W2. Key skills include SQL, data modeling tools, and cloud platform familiarity.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 7, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Los Angeles, CA
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Azure #Data Lineage #Data Modeling #ERWin #MDM (Master Data Management) #Metadata #Cloud #SQL (Structured Query Language) #Data Integrity #Normalization #Physical Data Model #GCP (Google Cloud Platform) #Databases #Data Management
Role description
Senior Data Modeler
Location: Los Angeles, California, (Day one Onsite)
Only Local Candidates
Need 15+ Years Candidate
Duration: 12+ Months
Job Type: C2C\W2
Core Responsibilities:
• Design and maintain conceptual, logical, and physical data models
• Collaborate with stakeholders to refine data requirements
• Ensure data integrity, normalization, and performance optimization
• Document metadata and data lineage
• Model data for transactional systems and lake house architectures, bridging operational and analytical layer
• Fine-tune entity models based on access patterns (Star, Graph, Document, Relational)
• Define domain relationships and build connected entity models
• Key Skills:
• Proficiency in SQL and data modeling tools (e.g., ERwin, ER/Studio)
• Strong understanding of normalization, dimensional modeling, and data warehousing
• Experience with relational and cloud databases
• Familiarity with cloud platforms and services (AWS, Azure, GCP)
• Experience with Master Data Management (MDM) solutions
Senior Data Modeler
Location: Los Angeles, California, (Day one Onsite)
Only Local Candidates
Need 15+ Years Candidate
Duration: 12+ Months
Job Type: C2C\W2
Core Responsibilities:
• Design and maintain conceptual, logical, and physical data models
• Collaborate with stakeholders to refine data requirements
• Ensure data integrity, normalization, and performance optimization
• Document metadata and data lineage
• Model data for transactional systems and lake house architectures, bridging operational and analytical layer
• Fine-tune entity models based on access patterns (Star, Graph, Document, Relational)
• Define domain relationships and build connected entity models
• Key Skills:
• Proficiency in SQL and data modeling tools (e.g., ERwin, ER/Studio)
• Strong understanding of normalization, dimensional modeling, and data warehousing
• Experience with relational and cloud databases
• Familiarity with cloud platforms and services (AWS, Azure, GCP)
• Experience with Master Data Management (MDM) solutions
