Data Modeler

This role demands both strong technical expertise and the ability to engage with business

stakeholders to ensure data solutions are accurate, scalable, and aligned with strategic

objectives.

Key Responsibilities

• Design, develop, and maintain dimensional, relational, and semantic data models that support analytical and operational use cases.
• Ensure models are scalable, flexible, and optimized for performance across various workloads.
• Partner with business stakeholders to understand processes, KPIs, and reporting needs, translating them into effective data models.
• Work closely with Data Engineers, Architects, and Analysts to ensure seamless data flow and model implementation.
• Conduct SQL performance tuning and query optimization for large-scale datasets.
• Recommend and implement strategies to enhance data retrieval speed and efficiency.
• Design and implement models on leading platforms such as Databricks and Snowflake.
• Leverage data modeling tools to build, visualize, and manage metadata-driven architectures.
• Ensure models comply with data governance, security, and quality standards.
• Maintain proper documentation, lineage, and metadata for all models.
• Apply CPG domain knowledge to model data relevant to sales forecasting, trade promotion, supply chain visibility, marketing analytics, and financial reporting.
• Build reusable and domain-specific data structures that reflect real-world business processes.

Required Skills & Competencies

Preferred Qualifications