Data Modeler
Tredence Inc.
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Nashville, TN
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Mid-Senior level
Posted April 17, 2026
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Responsibilities
Responsibilities
- Design and implement conceptual, logical, and physical data models
- Collaborate with business stakeholders to gather and translate data requirements
- Develop and maintain data dictionaries, ER diagrams, and metadata
- Ensure data integrity, consistency, and governance standards
- Optimize database structures for performance and scalability
- Work with data engineering teams on ETL/ELT processes
- Support data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
- Conduct data model reviews and enforce best practices
- Troubleshoot data-related issues and provide solutions Required Skills & Qualifications
Not Met Priorities
What still needs stronger evidence
Requirements
- Support data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
- Troubleshoot data-related issues and provide solutions Required Skills & Qualifications
- 4–10 years of experience in data modeling / data architecture
- Strong knowledge of:
- Data modeling tools (ERwin, ER/Studio, PowerDesigner)
- SQL and relational databases (Oracle, SQL Server, PostgreSQL)
- Dimensional modeling (Star/Snowflake schema)
- Experience with cloud data platforms (AWS, Azure, GCP)
- Understanding of data warehousing concepts and ETL pipelines
- Experience in retail, CPG, BFSI, or healthcare domains
- Knowledge of big data technologies (Hadoop, Spark)
- Exposure to BI tools (Tableau, Power BI)
- Certification in data management or cloud platforms
Preferred Skills
- Familiarity with data governance and data quality frameworks Preferred Qualifications
- Experience in retail, CPG, BFSI, or healthcare domains
- Knowledge of big data technologies (Hadoop, Spark)
- Exposure to BI tools (Tableau, Power BI)
- Certification in data management or cloud platforms
Education
- (Not required) – Bachelor’s/Master’s degree in Computer Science, IT, or related field
We are seeking a skilled Data Modeler to design, develop, and maintain scalable data models that support analytics, reporting, and data science initiatives. The ideal candidate will work closely with data engineers, analysts, and business stakeholders to ensure high-quality and efficient data architecture. Key Responsibilities
Design and implement conceptual, logical, and physical data models
Collaborate with business stakeholders to gather and translate data requirements
Develop and maintain data dictionaries, ER diagrams, and metadata
Ensure data integrity, consistency, and governance standards
Optimize database structures for performance and scalability
Work with data engineering teams on ETL/ELT processes
Support data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
Conduct data model reviews and enforce best practices
Troubleshoot data-related issues and provide solutions Required Skills & Qualifications
Bachelor’s/Master’s degree in Computer Science, IT, or related field
4–10 years of experience in data modeling / data architecture
Strong knowledge of:
Data modeling tools (ERwin, ER/Studio, PowerDesigner)
SQL and relational databases (Oracle, SQL Server, PostgreSQL)
Dimensional modeling (Star/Snowflake schema)
Experience with cloud data platforms (AWS, Azure, GCP)
Understanding of data warehousing concepts and ETL pipelines
Familiarity with data governance and data quality frameworks Preferred Qualifications
Experience in retail, CPG, BFSI, or healthcare domains
Knowledge of big data technologies (Hadoop, Spark)
Exposure to BI tools (Tableau, Power BI)
Certification in data management or cloud platforms
Design and implement conceptual, logical, and physical data models
Collaborate with business stakeholders to gather and translate data requirements
Develop and maintain data dictionaries, ER diagrams, and metadata
Ensure data integrity, consistency, and governance standards
Optimize database structures for performance and scalability
Work with data engineering teams on ETL/ELT processes
Support data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
Conduct data model reviews and enforce best practices
Troubleshoot data-related issues and provide solutions Required Skills & Qualifications
Bachelor’s/Master’s degree in Computer Science, IT, or related field
4–10 years of experience in data modeling / data architecture
Strong knowledge of:
Data modeling tools (ERwin, ER/Studio, PowerDesigner)
SQL and relational databases (Oracle, SQL Server, PostgreSQL)
Dimensional modeling (Star/Snowflake schema)
Experience with cloud data platforms (AWS, Azure, GCP)
Understanding of data warehousing concepts and ETL pipelines
Familiarity with data governance and data quality frameworks Preferred Qualifications
Experience in retail, CPG, BFSI, or healthcare domains
Knowledge of big data technologies (Hadoop, Spark)
Exposure to BI tools (Tableau, Power BI)
Certification in data management or cloud platforms