E
EXL
Manager - Data Modeler
Skills
SQL QueriesCompliance
3 months ago
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Important information
Contract type:
Permanent
Location:
Noida, Uttar Pradesh, India
Work mode:
Hybrid
Published on:
10 August 2026
What they need
- Understand and translate business needs into data models supporting long-term solutions.
- Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.
- Create and maintain conceptual, logical and physical data models using best practices to ensure high data quality and reduced redundancy, along with corresponding metadata.
- Optimize and update logical and physical data models to support new and existing projects.
- Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
- Recommend opportunities for reuse of data models in new environments.
- Perform reverse engineering of physical data models from databases and SQL scripts.
- Evaluate data models and physical databases for variances and discrepancies.
- Validate business data objects for accuracy and completeness.
- Analyse data-related system integration challenges and propose appropriate solutions.
- Develop data models according to company standards.
- Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.
- Review modifications to existing software to improve efficiency and performance.
- Examine new application design and recommend corrections if required.
- Assist with and support setting the data architecture direction (including data movement approach, architecture / technology strategy, and any other data-related considerations to ensure business value).
- Ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.
- Coordinate and consult with the project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.
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