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Data Modeler, Charlotte, NC (Hybrid 3 days Onsite)

Hybrid in Charlotte, NC, US • Posted 6 hours ago • Updated 6 hours ago

Contract Independent

Contract W2

12 Months

No Travel Required

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

Good Clinical Practice
Dimensional Modeling
Documentation
Data Validation
Data Warehouse
Database
Data Profiling
Data Quality
Data Structure
Data Management
Data Modeling
ER/Studio
Data Architecture
Data Governance
Data Migration
Collaboration
Communication
Conflict Resolution
Analytics
Big Data
Cloud Computing
Agile
Amazon Web Services
Analytical Skill
Reporting
SQL
Scrum
Snow Flake Schema
Problem Solving
Regulatory Compliance
PL/SQL
PostgreSQL
PowerDesigner
Meta-data Management
Modeling
RDBMS
Google Cloud Platform
IBM DB2
Microsoft Azure
ERwin
Extract, Transform, Load
Google Cloud
Teradata

Good Clinical Practice
Dimensional Modeling
Documentation
Data Validation
Data Warehouse
Database
Data Profiling
Data Quality
Data Structure
Data Management
Data Modeling
ER/Studio
Data Architecture
Data Governance
Data Migration
Collaboration
Communication
Conflict Resolution
Analytics
Big Data
Cloud Computing
Agile
Amazon Web Services
Analytical Skill
Reporting
SQL
Scrum
Snow Flake Schema
Problem Solving
Regulatory Compliance
PL/SQL
PostgreSQL
PowerDesigner
Meta-data Management
Modeling
RDBMS
Google Cloud Platform
IBM DB2
Microsoft Azure
ERwin
Extract, Transform, Load
Google Cloud
Teradata

Summary

Data Modeler

Charlotte, NC (Need Onsite day 1,hybrid 3 days from office)

Our challenge

We are seeking an experienced Data Modeler to design, develop, and maintain conceptual, logical, and physical data models that support enterprise data initiatives. The ideal candidate will work closely with business stakeholders, data architects, ETL developers, and analytics teams to ensure data structures are scalable, efficient, and aligned with business requirements.

The Role

Responsibilities:

Design and develop conceptual, logical, and physical data models for enterprise applications and data warehouses.
Analyze business requirements and translate them into effective data structures.
Create and maintain data dictionaries, metadata, data lineage, and data governance documentation.
Develop dimensional models including Star and Snowflake schemas for reporting and analytics.
Collaborate with data architects, ETL developers, DBAs, and business teams.
Perform data profiling, data quality assessments, and data validation.
Optimize database performance through efficient data modeling techniques.
Ensure compliance with data governance, security, and regulatory standards.
Support data migration, integration, and modernization initiatives.
Review and recommend improvements to existing data models and database designs.

Requirements:

Strong experience in Data Modeling and Data Architecture.
Hands-on experience with Erwin, ER/Studio, PowerDesigner, or similar data modeling tools.
Expertise in SQL and relational database concepts.
Experience with databases such as Oracle, SQL Server, PostgreSQL, Snowflake, Teradata, or DB2.
Strong understanding of Data Warehousing, ETL processes, and dimensional modeling.
Knowledge of data governance, metadata management, and data lineage concepts.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
Strong analytical, problem-solving, and communication skills.

Preferred, but not required:

Experience with Big Data technologies and modern data platforms.
Knowledge of Data Vault modeling techniques.
Experience in Agile/Scrum environments.
Certification in data management or cloud technologies is a plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91175902
Position Id: 9108387
Posted 6 hours ago

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