

Quantum World Technologies Inc.
Principal Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Modeler in Nashville, TN, with a contract duration. Pay rate is unspecified. Requires extensive experience in GCP, BigQuery, SQL optimization, and data modeling techniques. Must be a Green Card holder or U.S. Citizen.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
October 22, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Nashville, TN
-
🧠 - Skills detailed
#SQL Queries #Leadership #Cloud #Data Modeling #Cybersecurity #Logical Data Model #Automation #Data Management #Security #Monitoring #Data Integrity #Data Quality #Dataflow #Data Integration #SQL (Structured Query Language) #Scala #Data Analysis #Python #GCP (Google Cloud Platform) #Data Governance #Data Catalog #Metadata #Compliance #Code Reviews #Data Architecture #BigQuery #Version Control #"ETL (Extract #Transform #Load)"
Role description
Hi,
This is Manoj Kumar and I represent Quantum World Technologies Inc., a leading IT staffing organization. I am part of a team responsible for servicing the major clients of ours those are the world leaders in providing their specific services/solutions.
I came across your resume in one of the job boards and would like to draw your attention to an open contract position, requirement details are given below:
If interested, please share your resume.
Job Title: Principal Data Modeller
Location: Nashville TN (Onsite from Day one)
Duration: Contract
Note: Only GC and USC
Client is looking for an experienced and innovative Data Modeler to lead the design and implementation of scalable, secure, and high-performance data products on Google Cloud. In this role, you will be at the forefront of transforming raw data into actionable insights by creating robust architectures that integrate seamlessly into our enterprise ecosystem.
The Data Modeler will play a critical role in bridging the gap between business needs and technical solutions. You will work closely with Data Product Owners to understand product requirements, ensure alignment with business goals, and design solutions that meet operational and analytical needs.
This position requires a deep understanding of the architecture of business data source systems, their structures, communication protocols, and interfaces. The ideal candidate will demonstrate a mastery of data analysis, logical data modeling, and the ability to identify opportunities for data reuse and transformation. You will design data architectures that address gaps, optimize performance, and enforce enterprise standards in cybersecurity, governance, and compliance.
Major Responsibilities:
Knowledge, Skills, Abilities, Behaviors:
• Extensive experience in designing data models for large-scale systems
• Expertise in GCP architecture and BigQuery
• Expertise in SQL optimization and data modeling techniques
• Ability to write, tune, and interpret SQL queries.
• Strong experience with version control systems
• Strong ability to present complex technical concepts to leadership
• Extensive experience in architecture, construction, and implementation of data-intensive solutions
• Strong understanding of metadata management and data cataloging
• Adeptness to learn new assignments, technologies and applications quickly and manage multiple assignments simultaneously
• Ability to troubleshoot, maintain, reverse engineer and optimize existing ETL pipelines.
• Hands-on experience with Python, Dataflow and Cloud Composer
• Ability to analyze and interpret complex data, and offer solutions to complex clinical problems.
• Ability to work independently on assigned tasks.
• Strong written and verbal communication skills including the ability to explain complex technical issues in a way that non-technical people may understand.
• Excellent problem-solving and critical thinking skills.
• Knowledge of IT governance and operations.
Data Analysis & Logical Modeling
• Architect and oversee enterprise-wide data modeling initiatives
• Lead the development of scalable data models for enterprise applications
• Develop and enforce best practices for schema evolution and data interoperability
• Define data modeling standards and frameworks for the organization
• Work with stakeholders to implement data governance and security controls
• Perform advanced data analysis to inform design decisions and ensure alignment with business needs.
• Create logical data models or object models of moderate complexity to address business challenges.
• Develop data modeling automation frameworks to enhance consistency
• Implement advanced metadata management and data quality monitoring
• Define data transformation requirements and implement efficient solutions.
• Implement enterprise data management practices, standards, and frameworks for Data Integration
• Ensure data governance and security best practices are followed
• Participate in code reviews and provide feedback on SQL queries and ETL pipelines
• Build automated validation processes for data integrity checks
Thanks & Regards,
Manoj Yadav
Team Lead
Quantum World Technologies Inc.
Manoj.yadav@quantumworldit.com
Office: 805-574-2753
Hi,
This is Manoj Kumar and I represent Quantum World Technologies Inc., a leading IT staffing organization. I am part of a team responsible for servicing the major clients of ours those are the world leaders in providing their specific services/solutions.
I came across your resume in one of the job boards and would like to draw your attention to an open contract position, requirement details are given below:
If interested, please share your resume.
Job Title: Principal Data Modeller
Location: Nashville TN (Onsite from Day one)
Duration: Contract
Note: Only GC and USC
Client is looking for an experienced and innovative Data Modeler to lead the design and implementation of scalable, secure, and high-performance data products on Google Cloud. In this role, you will be at the forefront of transforming raw data into actionable insights by creating robust architectures that integrate seamlessly into our enterprise ecosystem.
The Data Modeler will play a critical role in bridging the gap between business needs and technical solutions. You will work closely with Data Product Owners to understand product requirements, ensure alignment with business goals, and design solutions that meet operational and analytical needs.
This position requires a deep understanding of the architecture of business data source systems, their structures, communication protocols, and interfaces. The ideal candidate will demonstrate a mastery of data analysis, logical data modeling, and the ability to identify opportunities for data reuse and transformation. You will design data architectures that address gaps, optimize performance, and enforce enterprise standards in cybersecurity, governance, and compliance.
Major Responsibilities:
Knowledge, Skills, Abilities, Behaviors:
• Extensive experience in designing data models for large-scale systems
• Expertise in GCP architecture and BigQuery
• Expertise in SQL optimization and data modeling techniques
• Ability to write, tune, and interpret SQL queries.
• Strong experience with version control systems
• Strong ability to present complex technical concepts to leadership
• Extensive experience in architecture, construction, and implementation of data-intensive solutions
• Strong understanding of metadata management and data cataloging
• Adeptness to learn new assignments, technologies and applications quickly and manage multiple assignments simultaneously
• Ability to troubleshoot, maintain, reverse engineer and optimize existing ETL pipelines.
• Hands-on experience with Python, Dataflow and Cloud Composer
• Ability to analyze and interpret complex data, and offer solutions to complex clinical problems.
• Ability to work independently on assigned tasks.
• Strong written and verbal communication skills including the ability to explain complex technical issues in a way that non-technical people may understand.
• Excellent problem-solving and critical thinking skills.
• Knowledge of IT governance and operations.
Data Analysis & Logical Modeling
• Architect and oversee enterprise-wide data modeling initiatives
• Lead the development of scalable data models for enterprise applications
• Develop and enforce best practices for schema evolution and data interoperability
• Define data modeling standards and frameworks for the organization
• Work with stakeholders to implement data governance and security controls
• Perform advanced data analysis to inform design decisions and ensure alignment with business needs.
• Create logical data models or object models of moderate complexity to address business challenges.
• Develop data modeling automation frameworks to enhance consistency
• Implement advanced metadata management and data quality monitoring
• Define data transformation requirements and implement efficient solutions.
• Implement enterprise data management practices, standards, and frameworks for Data Integration
• Ensure data governance and security best practices are followed
• Participate in code reviews and provide feedback on SQL queries and ETL pipelines
• Build automated validation processes for data integrity checks
Thanks & Regards,
Manoj Yadav
Team Lead
Quantum World Technologies Inc.
Manoj.yadav@quantumworldit.com
Office: 805-574-2753