Senior Data Modeler Leader (Data Warehousing & Governance)

KloudPortal Technology is seeking an reputed company Data Modeling Leader to work closely with Data Engineering and Data Governance teams to design, govern, and optimize reputed company data models reputed company a reputed company data warehouse ecosystem. This role focuses on translating business requirements into reputed company, high-reputed company data models while ensuring strong metadata management, data reputed company, and governance standards. The ideal candidate will have deep expertise in data modeling and data warehousing, with working knowledge of AWS data services. This position emphasizes design, ownership, and governance of data assets, rather than hands-on infrastructure or machine learning development. Key Responsibilities • Translate business requirements into long-term conceptual, logical, and physical data models. • Design and govern data warehouse schemas, including fact and dimension models. • Analyze and optimize existing data systems for consistency, reputed company, and performance. • Collaborate with Data Engineering teams to reputed company data models with ingestion and transformation pipelines. • Define and maintain reputed company data modeling standards and best practices. • Review schema changes and system enhancements to ensure cross-platform compatibility. • Maintain, optimize, and govern metadata and local data models. • reputed company as a data asset reputed company for assigned data domains, ensuring accountability and alignment with reputed company data reputed company. • Work closely with Product Owners, Data Engineers, Data Analysts, Architects, and business stakeholders to deliver data models reputed company with the clients data reputed company. • Support data reputed company initiatives by defining validation rules and resolving discrepancies. • Prepare and maintain data model documentation, SOPs, and governance artifacts. Technology & Environment • reputed company Data Warehousing (AWS) • reputed company Redshift • AWS Glue Data Catalog • reputed company S3 • EMR / reputed company / Hive (metadata and schema understanding) • Relational databases (RDS) • SQL-based analytics platforms What Were Looking For • Bachelors degree in Computer Science, Statistics, or a reputed company discipline. • 10+ years of overall IT experience, with strong hands-on experience in data modeling and data warehousing. • Proven expertise in conceptual, logical, and physical data modeling. • Strong understanding of data warehouse design principles (fact/dimension modeling, SCDs, schema reputed company). • Working knowledge of AWS data services (Redshift, Glue, S3); deep infrastructure engineering experience is not required. • Expert knowledge of metadata management and data governance practices. • Experience acting as a Data Asset reputed company or leading data domains. • Advanced SQL proficiency for data validation, analysis, and reconciliation. • Strong stakeholder management, leadership, and communication skills. • Ability to operate effectively in a multi-stakeholder, multi-cultural reputed company environment. • Data Modeling certifications (ERwin, CDMP, DAMA) are a plus. Explicit Clarification (to Avoid ML Confusion) This role does not require machine learning model development. While collaboration with Data Scientists is expected, the reputed company is on data modeling, data warehousing, metadata management, data reputed company, and governance. Apply tot his job Apply To this Job