What are the responsibilities and job description for the Senior Data Modeler position at ADN Group?
Job Title: Senior Data Modeler
Location: Trenton, NJ
Work Type: Hybrid
Duration: 12 Months of Contract
Shift: Regular Hours
NOTE: NO H1B // Local Candidates only with DL
Primary Skills: Senior Data Modeler; Data Architect; App Tech Specialist; Data Modeling; Conceptual Logical Physical Data Models; Dimensional Modeling; Star Schema; Snowflake Schema; Data Lake; AWS; Redshift; DynamoDB; S3; DB2; PostgreSQL; SQL Server; Big Data; SQL Development; Data Profiling; Data Warehouse; Data Mart; BI & Analytics; Snowflake; Cloud Data Platforms
Position Overview
Only qualified Senior Data Modeler candidates currently located in the Trenton, NJ area will be considered due to the position requiring an onsite presence.
This role focuses on designing and implementing modern data modeling solutions using relational, dimensional, star, snowflake, and data lake architectures. The Senior Data Modeler will support enterprise data initiatives by translating business requirements into scalable, high-quality data models across multiple database platforms.
Job Duties & Responsibilities
Design, develop, and implement Data Warehouse and Analytical Database structures
Work with Business groups and Application teams during pre- and post-assessment phases
Write complex SQL queries and develop/executed stored procedures for data analysis
Understand business and BI team needs for building Data Warehouses and Data Marts
Develop structured and unstructured data models for BI and analytics
Translate business requirements into conceptual, logical, and physical data models
Work with Application Development teams (e.g., Pega applications) to implement data strategies and data flows
Create and optimize logical and physical data models to ensure data quality and reduce redundancy
Support data initiative projects across multiple implementation phases
Define and enforce naming conventions and data modeling best practices
Recommend opportunities for data model reuse in new environments
Perform reverse engineering of physical data models from DB2 databases and SQL scripts
Evaluate data models and databases for inconsistencies across source systems
Analyze data-related system integration challenges and propose solutions aligned with client standards
Collaborate with IT teams including System Analysts, Engineers, Developers, and BI teams
Review and recommend modifications to existing systems to improve efficiency and performance
Required Education
4-year college degree or equivalent technical study
Required Skills & Experience
Data modeling experience for databases including DB2, AWS Redshift, DynamoDB, PostgreSQL, and SQL Server (8 years)
Experience with data modeling software/tools (6 years)
AWS and other cloud systems experience (3 years)
Strong SQL and data profiling skills across relational databases (8 years)
Experience analyzing:
Source databases
Source data
Referential integrity
Data profiling (8 years)
Experience building Data Lakes for structured and unstructured data (2 years)
Preferred Skills
Database tuning techniques (4 years)
Exposure to Snowflake Cloud Data Warehouse
Must-Have Skills
AWS; Big Data; Data Modeling; Database Design; PostgreSQL; SQL; SQL Server
Arushi Khanna | Associate - Hiring & Recruitment
Email: arushi@nsitsolutions.com
&
Vishal (Victor) Verma | Assistant Manager
vishal@nsitsolutions.com
NS IT Solutions
www.nsitsolutions.com