REQUIRED SKILLS

• Experience: data modeling, data architecture, or related fields.
• Domain Knowledge: Strong understanding of investment management processes and data.
• DataVault 2.0: Proven experience in implementing DataVault 2.0 models.
• Tools: Proficiency in Erwin, IBM InfoSphere Data Architect, Microsoft Visio, or similar tools.
• Databases: Expertise in SQL, NoSQL, Oracle, SQL Server, MySQL, PostgreSQL, Hadoop, etc.
• Cloud Platforms: Experience with AWS, Azure, or GCP; familiarity with Snowflake, Redshift, BigQuery.
• Design Principles: Deep understanding of normalization, denormalization, star/snowflake schemas, and ETL processes.
• Methodologies: Experience working in Agile and DevOps environments.
• Governance: Knowledge of data privacy, security protocols, and governance frameworks.
• Business Acumen: Ability to align data architecture with business goals and strategies.

JOB RESPONSIBILITIES

• Data Modeling: Lead the design and development of conceptual, logical, and physical data models for enterprise-scale systems.
• Data Architecture: Collaborate with architects to build scalable, high-performance data models for analytics, reporting, and BI.
• Domain Expertise: Apply investment management domain knowledge to align data models with business strategies.
• DataVault 2.0 Implementation: Design and implement data models using DataVault 2.0 methodology.
• Stakeholder Collaboration: Work with business analysts, data engineers, and stakeholders to gather and translate data requirements.Data Governance & Quality: Ensure compliance with data governance, security, and quality standards. Implement validation and quality checks.Performance Tuning: Optimize data models and queries for performance and scalability.Mentorship: Guide and mentor junior data modelers and analysts.
• Best Practices: Define and enforce data modeling standards and best practices.
• Documentation: Maintain comprehensive documentation including ERDs, data dictionaries, and schema definitions.
• Innovation: Stay updated with industry trends and emerging technologies in data modeling and analytics.