Data Modeller

Role & responsibilities

Preferred candidate profile

Job Title: Data Modeller

Location

Criteria

• Proficient in relational data modeling and business analysis with metadata management
• experience.
• Skilled in developing conceptual, logical, and physical data models for varied environments.
• Familiarity with data modeling tools like ER Studio, EA Sparx, and Collibra.
• Experience in creating and governing data models, including financial and reference models.
• Ability to coordinate and resolve model discrepancies across platforms with a focus on
• integration.
• Relevant Experience: 6-9 year

Technical Requirements:

• Experience in Relational/Normalized Data Modelling
• Strong Business Analysis skills
• Proficiency in Data Analysis
• Ability to develop conceptual, logical, and physical data models to support business
• requirements
• Experience in developing enterprise data models for OLTP, Analytics/AI/ML environments
• Familiarity with data modelling tools such as ER Studio, EA Sparx, Collibra
• Knowledge of metadata modelling, management, and tooling
• Implementation experience of physical models for interfaces, data stores, and cloud-based
• solutions
• Participation in governing data models
• Familiarity with Finance and Reference Data Models such as BIAN, ISO20022, FIBO, FSLDM

Functional Requirements:

• Analyzing Data Requirements
• Creating/Modifying Entities and Attributes in BDM
• Identifying Reference Domains
• Peer reviewing BDM changes made by other Data Modelers
• Reviewing Physical data models to ensure alignment with logical definitions
• Uploading extension attributes into Collibra
• Coordinating modelling efforts across the Platform
• Resolving any overlap/duplication/contradiction in Platform BDM
• Adopting and enforcing standards and guidelines for BDM
• Preparing BDM for integration with GDM
• Attending cross-Platform sessions to coordinate at an enterprise level