Description

The Sr Data Modeler is pivotal in ensuring the consistency, accuracy, and reliability of data systems. This role is responsible for designing, implementing, and managing data models for the organization. The Sr Data Modeler will partner with business analysts, engineers, architects, and data governance to ensure our data models meet the needs of our business and align with governance requirements.

 

Skill Matrix:

SkillsNo. of Years of ExperienceDetailed Write Up
Total No. of years of experience  
No. of years of Experience as a Senior Data Modeler/Sr. Data Engineer  
Must have SQL  
Must have Snowflake  
Must have Cosmos DB  
Must be an Expert in data modelling and metadata management tools such as Erwin or ER/Studio.  
Prefer Candidates with Banking/Financial/Lending Experience.  
Minimum of 5 years of experience with physical/logical data modelling and database design for both relational and non-relational databases required.  
Experience modelling for transaction processing and analytics preferred.  
Experience with cloud data platforms such as Azure, AWS, or GCP preferred  
Experience with Agile or other project management methodologies preferred.  
Strong analytical and problem-solving skills with the ability to analyze complex business requirements and translate them into effective data models required.  
Excellent organizational skills with the ability to document and present data models effectively required.  
Knowledge of the Banking Industry Architecture Network (BIAN) information architecture preferred.  

 

Responsibilities:

  • Develop, maintain, and optimize conceptual, logical, and physical data models in support of initiatives and new data offerings.
  • Create and document logical and physical data models including data dictionaries, metadata, and entity-relationship diagrams. Modeling scope includes OLTP and OLAP
  • Drive internal customer needs into meaningful effective data models in collaboration with Data Architects, Developers, and Analysts.
  • Enforce data modeling standards, guidelines, and best practices. Partner with Data Governance when new standards and guidelines are to be developed.
  • Ensure data security and compliance with relevant regulations and standards.
  • Prepare documentation for data models and definitions.
  • Communicate complex data and data modeling concepts to non-technical stakeholders effectively.
  • Support the design and implementation of database schemas/structures, and database performance tuning/optimization.
  • Perform additional duties as assigned

Key Skills
Education

Bachelor's degree

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