Senior Data Modeler

POSITION OVERVIEW: seeking a highly skilled Senior Data Modeler to architect, design, and implement data solutions.
Responsibilities:
· Analyze, Design and Implement Data Models:
· Analyze legacy and recent data usage across applications.
· Develop conceptual, logical, and physical data models.
· Implement relational, dimensional databases.
· Create data models optimized across different data domains.
· Optimize models for data query performance using best practices.
Collaboration:
· Work with business analysts, data architects, data administrators and database & BI developers.
· Provide technical leadership and mentorship to data modelers and other team members, fostering a culture of continuous learning and improvement.
· Translate enterprise requirements into effective data models.
· Be a thought leader. Stay updated on industry trends and emerging technologies related to data modeling and Microsoft Fabric, recommending innovative solutions to enhance existing data architecture.
Standards and Best Practices:
· Implement data governance policies and standards to ensure data quality, integrity, and security within the Microsoft Fabric environment.
· Define, review and document data modeling and design standards.
Hands-On Expertise:
· Perform hands-on modeling, design, configuration, development, and performance tuning.
· Work proactively to address project requirements.
Qualifications:
· Bachelor’s degree in computer engineering, computer science, information systems, or a related field.
· 8+ years in data analytics, data modeling, or data architecture.
· Proficiency in data modeling for transactional, operational reporting, and analytical solutions (EDW, Data Lake).
· Experienced with Dimensional Modeling and Data Warehouse Modeling.
· Experience using data modeling tools (e.g., IDERA Data Architect, Erwin).
· Knowledge of SQL and its use in data access and analysis.
· Experience in remodeling and/or re-platforming of legacy application databases.
· Must Have Knowledge of cloud-based databases (e.g., Azure/Fabric).
· Must have data architecture implementation on Azure/Fabric.
· Certifications in Microsoft Fabric.
· Excellent communication, problem-solving, organizational, and analytical skills.
· Ability to work independently and collaboratively.