For security - Client is looking for USC and GC - This role may turm CTH - Fulltime JOB DESCRIPTION: Must Have Skills - Investment mgmt / Asset mgmt and Experience in implementing data model using DATaVault2.0 Below JD We are seeking a highly experienced Senior Data Modeler with over 12 years of expertise in data modeling, architecture, and analytics. The successful candidate will play a key role in designing and optimizing data models for complex data systems across a variety of platforms. You will work with cross-functional teams to ensure that data is structured efficiently and is leveraged for business insights. Key Responsibilities: Investment management domain knowledge Experience in implementing data model using DATaVault2.0 Data Modeling: Lead the design, development, and implementation of data models (logical, physical, and conceptual) for enterprise-scale data systems. Data Architecture: Collaborate with the data architecture team to develop and maintain scalable and high-performance data models for reporting, analytics, and business intelligence. Stakeholder Engagement: Work closely with business analysts, data engineers, and other stakeholders to understand data requirements and translate them into robust data models. Data Governance & Quality: Ensure that data models comply with industry standards for data governance, security, and quality. Implement data quality checks and validation processes. Optimization & Performance Tuning: Optimize existing data models and queries for performance improvement and scalability. Mentorship: Provide guidance and mentorship to junior data modelers and analysts. Best Practices & Standards: Define and enforce data modeling best practices, standards, and guidelines for the organization. Documentation: Create and maintain comprehensive documentation for data models, including data dictionaries, entity-relationship diagrams (ERD), and schema definitions. Innovation & R&D: Stay current with industry trends and emerging technologies related to data modeling, analytics, and databases. Required Skills & Qualifications: Experience: 12+ years of experience in data modeling, data architecture, or related fields. Tools & Technologies: Extensive experience with data modeling tools such as Erwin, IBM InfoSphere Data Architect, or Microsoft Visio. Proficiency with SQL, NoSQL, and other database technologies (Oracle, SQL Server, MySQL, PostgreSQL, Hadoop, etc.). Knowledge of cloud-based data platforms (AWS, Azure, GCP) and modern data warehouses (Snowflake, Redshift, BigQuery). Advanced Knowledge: Strong understanding of database design, normalization, denormalization, star/snowflake schemas, and ETL processes. Methodologies: Experience in Agile and DevOps environments. Data Governance & Security: Experience with data privacy, security protocols, and governance frameworks. Business Acumen: Strong understanding of how to align data models with business requirements, ensuring that the data architecture supports key business goals.