Lead Data Modeler

Cynet Systems Inc; San Antonio (TX); On-site; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a skilled Data Modeler to lead the design and optimization of data models for large-scale enterprise applications. In this pivotal role, you will develop and maintain logical and physical data models, ensuring they align with data governance and compliance standards. Your expertise in data architecture and strong analytical skills will be essential as you collaborate with various teams to translate complex business requirements into effective data solutions. Join a forward-thinking company where your contributions will drive strategic application development projects and enhance data-driven decision-making.

Qualifications

• Deep experience in data architecture and strong analytical skills.
• Ability to translate complex business requirements into robust data models.

Responsibilities

• Lead the design and optimization of data models for enterprise applications.
• Collaborate with ETL and reporting teams to support analytics needs.

Skills

Data Modeling

Data Architecture

Analytical Skills

Data Warehousing

Cloud Platforms (AWS, Azure, GCP)

Tools

ER/Studio

Erwin

Power Designer

Job description

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.