Jobs → Data & Analytics → Finance Data Modeler

About the Role We are looking for an experienced Finance Data Modeler with strong expertise in Enterprise Data Modeling and hands-on experience with Databricks. Key Responsibilities • Design and maintain conceptual, logical, and physical data models for enterprise data platforms. • Translate business requirements and processes into scalable and reusable data structures. • Develop relational, dimensional, Star Schema, Snowflake Schema, and domain-oriented data models. • Define entities, attributes, relationships, primary keys, foreign keys, business keys, and hierarchies. • Establish data modeling standards, naming conventions, data types, and best practices. • Work closely with business stakeholders, Data Architects, Data Engineers, and Analytics teams. • Support master data, reference data, metadata, and data governance initiatives. • Maintain model documentation, business definitions, data lineage, and metadata. • Ensure models support historical data, Slowly Changing Dimensions (SCD), auditability, and data traceability. • Participate in architecture and design reviews and ensure data quality and integrity. Requirements • 10+ years of experience in Data Modeling / Data Architecture. • Strong experience in Finance Data Modeling. • Hands-on experience working with Databricks. • Expertise in conceptual, logical, and physical data modeling. • Strong knowledge of relational and dimensional modeling. • Experience with Data Warehousing, Star Schema, and Snowflake Schema. • Understanding of Master Data Management (MDM), Metadata, and Data Governance. • Experience with data modeling tools such as ER/Studio, ERwin, PowerDesigner, Visio, or Lucidchart. • Strong communication and stakeholder collaboration skills.