Responsibilities :

- Develop and maintain conceptual, logical, and physical data models.

- Collaborate with business analysts, data architects, and stakeholders to gather data requirements.

- Translate business needs into efficient database designs.

- Optimize and refine existing data models to support analytics and reporting.

- Ensure data models support data governance, quality, and security standards.

- Work closely with database developers and administrators on implementation.

- Document data models, metadata, and data flows.

Required Qualifications :

- Bachelors or Masters degree in Computer Science, Information Systems, Data Science, or related field.

- Data Modeling Tools : ER/Studio, ERwin, SQL Developer Data Modeler, or similar.

- Database Technologies : Proficiency in SQL and familiarity with databases like Oracle, SQL Server, MySQL, PostgreSQL.

- Data Warehousing : Experience with dimensional modeling, star and snowflake schemas.

- ETL Processes : Knowledge of Extract, Transform, Load processes and tools.

- Cloud Platforms : Familiarity with cloud data services (e.g., AWS Redshift, Azure Synapse, Google BigQuery).

- Metadata Management & Data Governance : Understanding of data cataloging and governance principles.

- Strong analytical and problem-solving skills.

- Excellent communication skills to work with business stakeholders and technical teams.

- Ability to document models clearly and explain complex data relationships.

- 10+ years in data modeling, data architecture, or related roles.

- Experience working in Agile or DevOps environments is often preferred.

- Understanding of normalization/denormalization.

- Experience with business intelligence and reporting tools.

- Familiarity with master data management (MDM) principles.