Senior Lead Data Modeler

Come and join us in reshaping the future!

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 w...