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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.
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.