We are seeking a Senior Data Modeler to lead the design, implementation, and optimization of enterprise-level data models across various platforms. This role requires a strategic thinker with hands-on experience in data architecture and a deep understanding of industry best practices in data modeling and data infrastructure.
Key Responsibilities :
- Lead the development of conceptual, logical, and physical data models .
- Implement business and IT data requirements across relational, dimensional, and NoSQL platforms .
- Define and enforce data modeling standards, tools, and best practices .
- Oversee the implementation of RDBMS , Operational Data Stores (ODS) , data marts , and data lakes .
- Identify and design the architecture, infrastructure, and interfaces to data sources while ensuring security and analytic model support .
- Optimize data query performance through best practices and identify areas for improvement in current data systems.
- Collaborate with cross-functional teams to address project requirements and mitigate delivery risks.
- Support the development of data tools for reporting , visualization , analytics , and machine learning .
- Design and manage data infrastructure to extract, organize, and store data for authorized users.
- Identify and integrate internal and external data sources within the organization.
- Ensure data accuracy , security , and accessibility .
Requirements
Requirements :
8+ years of experience in data modeling, data architecture, and data infrastructure.Proven expertise in conceptual, logical, and physical data modeling .Hands-on experience with data warehouse and data lake design using Inmon and Kimball methodologies.Experience working with RDBMS , NoSQL databases , and Cloudera CDP technologies.Demonstrated success in defining and implementing data architecture strategies in enterprise environments.Strong understanding of data modeling standards , best practices , and design tools such as ERWIN .Experience in performance tuning for complex data queries.Excellent communication skills for interacting with technical and non-technical stakeholders.Strong analytical mindset and problem-solving skills to proactively support business and IT initiatives.