JPMorgan Senior Lead Data Modeler 

United States, New Jersey, Jersey City 

724794048

Job Summary:

As a Senior Lead Data Modeler you will be responsible for designing, implementing, and maintaining sophisticated data models and information architecture frameworks that support business objectives, with a strong emphasis on data warehousing, semantic modeling, and dimensional modeling. This role requires a deep understanding of data architecture principles and the ability to translate complex business requirements into scalable and efficient data solutions. The Senior Data Modeler/Senior Information Architect will leverage the latest trends in data modeling, including data mesh, data fabric, and AI-driven modeling techniques, to optimize data processes and drive data-driven decision-making.

Key Responsibilities:

• Design and develop advanced data models and information architecture frameworks that meet business requirements and adhere to industry best practices, focusing on data warehousing, semantic modeling, and dimensional modeling techniques.
• Collaborate with business analysts, data engineers, and other stakeholders to gather and analyze data requirements.
• Create detailed modeling requirements and meta models to ensure comprehensive representation of business needs and data structures.
• Implement data modeling solutions using tools such as ERwin, PowerDesigner, or similar, with a focus on creating robust data warehouse architectures.
• Develop conceptual, logical, and physical data models to represent business requirements and data structures effectively.
• Integrate modern data modeling approaches such as data mesh and data fabric to enhance data accessibility and governance.
• Utilize AI-driven modeling techniques to automate and optimize data model creation and maintenance.
• Introduce, enhance, and govern data modeling practices within the software development lifecycle (SDLC) to ensure consistency, quality, and compliance in the data space.
• Ensure data models and information architecture frameworks are optimized for performance, scalability, and integration within the SDLC framework.
• Maintain and update existing data models and information architecture frameworks to accommodate changes in business needs and technology advancements.

Required qualification, capabilities and skills:

• Bachelor’s degree in Computer Science, Information Systems, or a related field; Master’s degree preferred.
• Minimum of 20 years of experience in data modeling, data architecture, or related roles.
• Extensive experience in Information Architecture, including data flow design, metadata management, and data lineage.
• Proven track record in developing and implementing comprehensive information architecture frameworks.
• Proficiency in data modeling tools, with significant experience in various ERwin versions and products, including ERwin Data Modeler, ERwin Data Intelligence, and ERwin Web Portal.
• Experience with multiple modeling tools such as DB Artisan, Embarcadero, and Hackolade data modeling tools.
• Strong understanding of relational and non-relational database systems, including NoSQL databases.
• Extensive experience with data warehousing, semantic modeling, and dimensional modeling.
• In-depth knowledge of AWS technologies and cloud-based data solutions, with a focus on delivering large-scale enterprise-class data platforms and data products.
• Familiarity with data mesh and data fabric concepts.

Preferred qualification, capabilities and skills:

• Experience in the financial services industry.
• Knowledge of big data technologies such as Hadoop, Spark, or similar.
• Experience with cloud-based databases such as Databricks, Snowflake, and Amazon Redshift.
• Certification in data modeling, data architecture, or AWS technologies.
• Experience in designing and implementing information architecture frameworks.
• Proven track record in establishing and maintaining data governance frameworks and processes.
• Proficiency with Jade products for data modeling and management.
• Experience with Integrated Customer Data Warehouse (ICDW) solutions.
• Expertise in Teradata for large-scale data warehousing and analytics.