Lead Data Modeler
5 Months ago • All levels • $62,000 PA - $127,600 PA
Job Description
The Lead Data Modeler will lead the design and optimization of data models for large-scale enterprise applications, developing and maintaining logical and physical data models for application projects. They will translate complex business requirements into robust data models, collaborating with ETL and reporting teams to ensure data models support analytics needs. Responsibilities include defining and maintaining data dictionaries, metadata, and modeling standards, and leading data modeling initiatives for strategic projects. They must ensure data models align with data governance, security, and compliance standards and have strong experience with data modeling tools.
Must Have:
- Lead the design and optimization of data models
- Develop and maintain logical and physical data models.
- Expert in logical, physical, and dimensional data modeling.
- Analyze application data requirements into efficient data models.
- Experience with Erwin, RDBMS
Job description:
Work Location: San Antonio, Texas
No. of Positions: 2
Job Title/Role: Lead Data Modeler
Mandatory skills: Erwin, RDBMS
Job Description:
- Lead the design and optimization of data models for large-scale enterprise applications
- Develop and maintain logical and physical data models for application projects
- Expert in logical, physical, and dimensional data modeling
- Analyze application data requirements and translate them into efficient data models
- Collaborate with ETL and reporting teams to ensure data models support analytics needs
- Define and maintain data dictionaries, metadata, and modeling standards.
- Lead data modeling initiatives for strategic application development projects
- Define and enforce data modeling best practices and standards
- Collaborate with enterprise architects and business stakeholders on data strategy
- Ensure data models align with data governance, security, and compliance standards
- Strong experience in data modeling tools (e.g., ER/Studio, Erwin, or Power Designer).
Qualifications: - Deep experience in data architecture, strong analytical skills, and the ability to translate complex business requirements into robust data models .
- Strong background in data warehousing and data lakes
- Experience with cloud platforms (AWS, Azure, or GCP) and modern data architecture.
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