Senior Data Modeler

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.