ERPMARK INC

Senior Data Modeler

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Modeler in Columbia, SC (Hybrid) with a contract length of unspecified duration. Requires 10 years of data modeling experience, strong SQL skills, and knowledge of cloud platforms like AWS and Snowflake.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
December 12, 2025
πŸ•’ - Duration
Unknown
-
🏝️ - Location
Hybrid
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Columbia, SC
-
🧠 - Skills detailed
#Data Analysis #Data Modeling #Database Schema #Snowflake #Physical Data Model #AWS S3 (Amazon Simple Storage Service) #Metadata #ERWin #Databases #Quality Assurance #Databricks #Oracle #MySQL #Data Integrity #SQL (Structured Query Language) #Requirements Gathering #S3 (Amazon Simple Storage Service) #Cloud #Redshift #AWS (Amazon Web Services) #BI (Business Intelligence) #Computer Science #Database Design #SQL Server
Role description
Title: Senior Data Modeler Work location: Columbia, SC (Hybrid) - Preference: Local to SC or Nearby States Candidates only Contract Mandatory Skills: β€’ 10 years of experience in Data Modeling β€’ Experience with data modeling tools such as Erwin or ER/Studio β€’ Strong SQL experience β€’ Experience with relational databases (Oracle, SQL Server, or MySQL) β€’ Knowledge of Data Warehousing and Business Intelligence concepts β€’ Knowledge of cloud data platforms such as AWS (S3, Redshift), Snowflake, or Databricks β€’ Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field β€’ Strong communication and interpersonal skills β€’ Excellent problem-solving skills and attention to detail β€’ Ability to work independently and in a team environment Responsibilities: β€’ Define and develop data modeling practices, standards, and guidelines β€’ Create and manage conceptual, logical, and physical data models and metadata by working with stakeholders and others β€’ Facilitate requirements gathering sessions with business units to capture data needs and translate them into model specifications β€’ Collaborate with the development teams to ensure the database design meets application requirements β€’ Conduct data analysis, and quality assurance to ensure data integrity and consistency β€’ Implement database schema changes and modifications β€’ Document data models, metadata, data flows, and data dictionaries β€’ Provide technical support and guidance to users β€’ Participate in model reviews β€’ Train developers and others in modeling