Data Modeler
Hope you are doing good.Please share your updated resume if you are interested in this role.Role: Data ModelerLocation: Onsite at Charlotte, NCJob Term: Full Time - Direct HireJob DescriptionMust Have Technical/Functional SkillsData Modeler responsible for designing and maintaining enterprise data models and semantic structures that enable consistent, scalable, and governed analytics across client transformation program.This role ensures that product KPIs, value stream metrics, and business data entities are modeled accurately to support Power BI, AI/ML, and enterprise reporting ecosystems. Must Have skills : . Enterprise Data Modeling & Design• Design conceptual, logical, and physical data models aligned to transformation needs• Define enterprise data domains, entities, relationships, and hierarchies• Ensure alignment with product/value stream-based operating model________________________________________2. KPI & Semantic Model Alignment• Translate business requirements into data models supporting KPIs and metrics• Align models with standardized metric definitions and reporting logic• Support semantic layer design used by Power BI and analytics tools ________________________________________3. Data Integration & Platform Alignment• Design models for integration with: o Enterprise data warehouses (SQL / cloud platforms)o Analytical data layers• Collaborate with Data Engineers to: o Ensure data availability, consistency, and transformation logico Support ingestion, transformation, and consumption layers ________________________________________4. Data Standardization & Governance• Define and enforce: o Standardized data definitions and naming conventionso Data lineage and traceability across systems• Ensure alignment with enterprise governance and control frameworks• Maintain single version of truth for reporting datasets ________________________________________5. Performance & Optimization• Optimize data models for: o Reporting performance (Power BI / dashboards)o Query efficiency and scalability• Support efficient use of: o Aggregations, partitions, and indexing strategies________________________________________6. Collaboration with Business & Analytics Teams• Work with: o Business/Product teams for KPI definitionso BI teams for reporting requirementso Data Science teams for model-ready datasets• Convert business requirements into scalable data structures Desired Candidate ProfileQualifications : BACHELOR OF COMPUTER SCIENCE Thanks & Regards,Vaishnav Gupta| Senior Technical RecruiterKPG99, INC | www.kpgtech.com | MBE Certified Firm3240 E State, St Ext | Hamilton, NJ 086196093632237 | Vaishnav.gupta@kpgtech.com