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Lead Data Modeler

Noblesoft Technologies

Texas

On-site

USD 80,000 - 120,000

Full time

19 days ago

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Job summary

An established industry player is seeking a Data Modeling Lead to spearhead the design and optimization of data models for large-scale enterprise applications. This role involves developing and maintaining logical and physical data models, collaborating with ETL and reporting teams, and defining data modeling best practices. The ideal candidate will have deep experience in data architecture, a strong analytical mindset, and familiarity with cloud platforms. Join a forward-thinking company where your expertise will drive strategic application development and ensure data governance and compliance standards are met.

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
Analytical Skills
Data Architecture
Cloud Platforms (AWS, Azure, GCP)

Tools

ER / Studio
Erwin
Power Designer

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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