Data Modeler

Primary Objective

Design and implement standardized, modular data models that can be adapted across multiple Operating Entities (OEs) at client, leveraging best practices from various modeling methodologies (Data Vault, Kimball, etc.) to deliver curated, reusable 'data products' for business use cases.

Key Responsibilities

Data Modeling Strategy - Develop and maintain enterprise-level data modeling standards based on Data Vault 2.0 principles. Harmonize methodologies (Data Vault, Kimball, Inmon) to create a unified modeling approach.
Reusable Model Design - Create 'off-the-shelf' data model templates that can be customized for different OEs. Ensure scalability and flexibility for diverse business domains.
Data Product Development - Design curated datasets (data products) for specific analytical and operational use cases. Collaborate with business stakeholders to define requirements and ensure alignment with data governance.
Architecture & Integration - Work closely with data engineers and solution architects to implement models in cloud/on-prem platforms. Ensure integration with existing data pipelines, ETL/ELT processes, and BI tools.
Governance & Standards - Establish metadata management, lineage tracking, and documentation standards. Promote data quality, consistency, and compliance across all OEs.