Senior Data Modeler

As a highly skilled Data Modeler with deep experience in the CPG domain, your role will involve designing scalable and business-aligned data models to support analytical and operational use cases across functions like Sales, Trade, Supply Chain, Marketing, and Finance. You will collaborate closely with business stakeholders and technical teams to ensure data structures accurately reflect business processes and drive actionable insights. **Key Responsibilities:** - Design and develop conceptual, logical, and physical data models aligned with CPG business requirements. - Collaborate with stakeholders to gather and interpret data requirements across domains such as Retail Execution, Customer 360, Trade Promotion, and Supply Chain. - Translate KPIs and business rules into structured models supporting reporting, data warehousing, and advanced analytics. - Apply industry-standard modelling techniques like dimensional modelling (star/snowflake), 3NF, and data vault. - Document models through ER diagrams, data dictionaries, and metadata to support governance and knowledge sharing. - Implement models on cloud platforms such as Snowflake, Databricks, or Azure Synapse. - Ensure modelling standards and best practices are followed for consistency and scalability. - Support BI and analytics teams by building models that enable effective self-service analytics and reporting. - Align models with data quality, lineage, and compliance frameworks. - Continuously optimize data models based on evolving business needs and system performance. **Qualifications Required:** - BE/BS/MTech/MS in Computer Science or equivalent work experience. - 5+ years of experience in data modelling with exposure to CPG domain preferred. - Proficient in dimensional modelling, 3NF, and data vault methodologies. - Hands-on experience with data modelling tools such as ER/Studio, Erwin, or dbt. - Strong understanding of SQL and data warehousing principles. - Experience working with modern cloud data platforms (Snowflake, Azure Synapse, Databricks). - Excellent communication skills to bridge business and technical teams. - Cloud certifications (e.g., Azure Data Engineer Associate, AWS Big Data Specialty, Google Data Engineer). - Knowledge of MDM concepts and tools, especially within the CPG context. - Familiarity with GS1 standards and product hierarchy management. - Exposure to Agile or SAFe delivery frameworks. - Certifications in data architecture or modelling (e.g., CDMP). - Prior experience leading data teams of 10-20+ members. - Strong ability to balance strategic thinking with hands-on implementation. This job requires a Data Modeler who can effectively work with data across various domains in the CPG industry, ensuring that the data models are efficient, scalable, and aligned with business requirements.,