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Data Modeler - Lead

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Onsite

Data Modeler - Lead

Envision Technology Solutions

Data Modeler - Lead

Skills

SQL QueriesData AnalysisComplianceAzure

15 days ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

6 October 2026

What they need


Job Title: Data Modeler

We are seeking a talented and experienced Data Modeler to join our team. The Data Modeler will be responsible for designing, developing, and maintaining data models to support various business needs and initiatives. The ideal candidate will have a strong background in data modeling principles, database design, and data management best practices.

Responsibilities:

  • Collaborate with stakeholders, business analysts, and data engineers to understand

business requirements and translate them into conceptual, logical, and physical data models.

  • Design and develop data models using industry-standard modeling techniques and tools.

  • Perform data profiling and analysis to understand data quality, structure, and relationships.

  • Optimize data models for performance, scalability, and usability.

  • Define and enforce data modeling standards, best practices, and guidelines.

  • Participate in data governance initiatives to ensure compliance with data management

policies and standards.

  • Work closely with database administrators and developers to implement data models

in relational and non-relational database systems.

  • Conduct data model reviews and provide recommendations for improvements.

  • Stay updated on emerging trends and technologies in data modeling and data management

Requirements:

  • 8+ years of experience in data modeling and database design and experience in the Wealth Management/Finance domain will be an added advantage.

  • Proficiency in data modeling tools such as draw.io , ERwin, ER/Studio, or similar tools.

  • Strong knowledge of SQL on Azure Synapse Analytics.

  • Experience with ODS, data warehouse design and dimensional modeling.

  • Excellent analytical and problem-solving skills.

  • Strong communication and collaboration skills.

  • Ability to work effectively in a fast-paced, dynamic environment.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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