enior Data Modeler -Enterprise Data Model/Snowflake/Source-to-Target (S2T) mappings/SQL- India

Role: Senior Data Modeler - Enterprise Data Model/Snowflake/Source-to-Target (S2T) mappings/SQLSenior Data Modeler

Location: Any Mastek Office IndiaExperience10–12 years of hands-on experience in Data Modeling, Data Warehousing, and SQL.Role OverviewWe are looking for an experienced Senior Data Modeler with strong expertise in enterprise data modeling and modern analytical data environments.The candidate should have a strong understanding of fundamental and advanced data modeling concepts and hands-on experience designing North Star Data Models, source-to-target mappings, and semantic/ontology/context layers that support downstream BI, analytics, and AI use cases.Key Responsibilities

• Design, develop, and maintain North Star Data Models that provide a consistent and business-oriented representation of enterprise data.
• Develop conceptual, logical, and physical data models based on business and analytical requirements.
• Design normalized and dimensional models, including Star and Snowflake schemas.
• Create detailed source-to-target mappings, including source attributes, target attributes, transformation rules, business logic, and data relationships.
• Translate source-system structures and business requirements into standardized target data models.
• Define business entities, attributes, relationships, keys, hierarchies, measures, and KPIs.
• Design and maintain semantic, ontology, and context layers that provide consistent business meaning across data.
• Ensure the North Star Data Model and semantic layer can effectively support downstream consumption through Power BI, Sigma, and AI/GenAI applications.
• Work closely with data engineers, business analysts, BI teams, and AI teams to ensure the implemented models align with the approved data models.
• Review and enhance existing data models for consistency, scalability, usability, and performance.
• Maintain data-model documentation, data dictionaries, business definitions, and source-to-target mapping specifications.
• Participate in data-model reviews and ensure modeling standards and best practices are followed.Required Technical Skills
• 8–12 years of Data Modeling experience.
• Strong understanding of:o Conceptual Data Modelingo Logical Data Modelingo Physical Data Modelingo Dimensional Modelingo Star and Snowflake schemaso Normalization and denormalizationo Fact and Dimension modelingo Slowly Changing Dimensions (SCD)o Primary and foreign keyso Hierarchies and relationshipso Business rules and data definitions
• Hands-on experience with North Star Data Modeling or similar enterprise-wide canonical/business data modeling approaches.
• Strong SQL skills, including complex joins, CTEs, window functions, aggregations, and data validation.
• Strong understanding of Snowflake.
• Strong experience creating Source-to-Target (S2T) mappings.
• Understanding of Semantic Layer, Ontology Layer, and Context Layer concepts.
• Understanding of how well-designed data models support BI, analytics, and AI/GenAI consumption.
• Experience with Power BI and/or Sigma is preferred.Retail Domain Experience – PreferredExperience working in the Retail domain is highly preferred, with an understanding of areas such as:
• Product and Product Hierarchies
• Customer
• Store and Location
• Sales and Transactions
• Inventory
• Pricing and Promotions
• E-commerce / Digital
• Marketing and Advertising
• Retail MediaIdeal CandidateThe ideal candidate should be able to work across the complete data-modeling lifecycle:Source Systems → Source-to-Target Mapping → North Star Data Model → Semantic/Ontology/Context Layer → Power BI /