Key Responsibilities: - Develop conceptual, logical, and physical data models to support enterprise-wide MDM initiatives. - Develop end to end data lifecycle events flows, mapped to logical model and physical systems. - Document and maintain data dictionaries, metadata, and entity relationships. - Translate requirements into optimal data structures. - Define and enforce data governance policies and standards. - Design data models for structured and unstructured data across relational and NoSQL databases. - Ensure compliance, data security, and integrity within data models. - Ability to implement models in cloud-based platforms/Databases (AWS, Azure, Snowflake etc). - Contribute to data migration, integration, and reconciliation strategies. Required Skills & Experience: - 7+ years of experience in data modeling and MDM. - Hands-on expertise with data modeling tools (e.g., Erwin, Power Designer, ER/Studio). - Strong proficiency in SQL, NoSQL, and cloud-based databases (Snowflake, Amazon Redshift, Big Query, etc.). - Experience working in financial services, capital markets, or consulting environments. - Deep understanding of data governance, metadata management, and regulatory compliance. - Proficiency with ETL frameworks, APIs, and real-time data integration
Job Type
Hybrid role
Skills required
No particular skills mentioned.
Location
New York
Salary
No salary information was found.
Date Posted
April 17, 2025
Lab49 is seeking a skilled Data Modeler in New York to develop application data models for Finance, CRM, and Master Data Management. The role involves collaboration with cross-functional teams to design scalable and compliant data solutions.