Senior Data Modeler (Techniques & Methodologies)

Job Summary

We are seeking a

Senior Data Modeler

with advanced proficiency in

data modeling techniques and methodologies . The role involves designing, implementing, and optimizing data models that enable effective data storage, access, and integration across enterprise systems. The ideal candidate will collaborate with cross-functional teams to ensure data solutions align with business requirements and support scalable, high-performance analytics and reporting. Key Responsibilities

Design, develop, and maintain

conceptual, logical, and physical data models

to support enterprise applications and business intelligence solutions. Apply

best practices in data modeling methodologies

(e.g., ER modeling, dimensional modeling, normalization/denormalization). Collaborate with data engineers, architects, and business analysts to ensure models meet

business, technical, and performance requirements . Optimize and maintain data structures for

scalability, efficiency, and reliability . Conduct

data analysis, profiling, and mapping

to support system integrations and migrations. Document data models, metadata, and standards to ensure

consistency and governance . Provide guidance on data modeling tools, methodologies, and

industry standards . Job Qualifications

Minimum Requirements: Bachelor’s Degree in

Computer Science, Information Systems, Data Management, or a related field . Advanced proficiency in

data modeling techniques and methodologies . Minimum of

2 years’ experience

in data modeling, data architecture, or related fields. Experience with

data modeling tools

(e.g., ERwin, PowerDesigner, SQL Developer Data Modeler, or equivalent). Strong understanding of

relational databases (RDBMS)

and

data warehousing concepts . Familiarity with

ETL processes, data governance, and data quality principles . Preferred Qualifications: Knowledge of

cloud-based data platforms

(e.g., AWS Redshift, Azure Synapse, Google BigQuery). Exposure to

NoSQL and big data technologies . Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively in a

cross-functional, global environment .

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