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

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.

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