24 Sep
|
Persistent
|
Hyderabad
24 Sep
Persistent
Hyderabad
We are seeking an experienced Data Modeler to support SQL Database Assessment and Modernization engagements. The candidate will be responsible for analyzing existing SQL Server database structures, evaluating data models, documenting data assets, and defining optimized future-state data models aligned with business, operational, reporting, analytics, and modernization objectives.
The ideal candidate should possess strong expertise in data modeling, database design, metadata management, data governance, and SQL Server environments.
________________________________________
Key Responsibilities
Current State Data Model Assessment
Conduct a detailed assessment of existing SQL Server data models.
Review
o Database schemas o Tables and relationships o Primary and foreign key structures o Data dependencies o Referential integrity implementations o Data storage patterns
Analyze data model effectiveness, scalability, and maintainability.
Data Discovery & Analysis
Inventory critical business entities and data domains.
Identify redundant, obsolete, and duplicate data structures.
Analyze data usage patterns across applications and reporting systems.
Review data lineage and data flow between source and target systems.
Support data quality assessment activities.
Data Modeling & Design
Develop and document
o Conceptual Data Models o Logical Data Models o Physical Data Models
Create enterprise-aligned data structures supporting modernization initiatives.
Design normalized and denormalized data structures where appropriate.
Recommend improvements for performance, maintainability,
and scalability.
Requirements Gathering
Collaborate with business stakeholders, architects, developers, DBAs, and application teams.
Understand current business processes and data requirements.
Translate business requirements into data models and design artifacts.
Support data architecture workshops and discovery sessions.
Data Quality & Governance Assessment
Assess data quality standards and governance controls.
Review
o Data validation rules o Business rules implementation o Data ownership o Data stewardship practices
Recommend governance improvements and standardization opportunities.
Metadata & Documentation
Develop comprehensive data dictionaries.
Document
o Business definitions o Data lineage o Data ownership o Data transformation rules o Metadata repositories
Ensure assessment findings are properly documented.
Modernization Readiness Assessment
Identify opportunities to modernize data structures for:
o Cloud migration o Data warehouse modernization o Advanced analytics o AI/ML readiness
Support Data Architects in defining future-state architecture and data strategies.
Provide inputs for migration planning and effort estimation.
________________________________________
Key Deliverables
Current State Data Model Assessment Report
Data Inventory & Entity Mapping
Conceptual Data Model
Logical Data Model
Physical Data Model
Data Dictionary
Data Lineage Documentation
Data Quality Assessment Report
Data Governance Assessment
Future-State Data Model Blueprint
Modernization Recommendations
________________________________________
Required Technical Skills
Data Modeling
Conceptual Data Modeling
Logical Data Modeling
Physical Data Modeling
Dimensional Modeling
Data Normalization & Denormalization
Entity Relationship Modeling (ER Modeling)
SQL & Database Knowledge
Microsoft SQL Server
SQL Querying
Stored Procedures
Database Schema Design
Relational Database Concepts
Data Analysis
Modeling Tools
ERwin Data Modeler
ER/Studio
PowerDesigner
Visio
Lucidchart
Data Modeling Best Practices
Data Governance & Metadata
Data Catalogs
Metadata Management
Data Lineage
Business Glossary
Data Governance Frameworks
Analytics & Reporting (Preferred)
Data Warehousing Concepts
Power BI
ETL/ELT Concepts
Azure Data Services
________________________________________
Soft Skills
Solid analytical and problem-solving skills.
Excellent stakeholder engagement and communication abilities.
Strong documentation and presentation skills.
Ability to facilitate workshops and requirement-gathering sessions.
Collaborative mindset with architects, DBAs, and engineering teams.
📌 Data Modeler (Hyderabad)
🏢 Persistent
📍 Hyderabad