Data Modeler

Data Modeler
NJ/Tampa/Dallas

KeyResponsibilities

• Design scalable data models optimized for Snowflake's cloud-native architecture, including use of virtual warehouses, clustering keys, and materialized views.
• Develop conceptual, logical, and physical data models that align with financial regulatory requirements (e.g., Basel III, SOX, GDPR).
• Collaborate with data engineers and architects to implement models that support real-time analytics, fraud detection, and risk management.
• Ensure data quality and consistency across diverse financial systems such as trading platforms, customer onboarding, and compliance tools.
• Integrate structured and semi-structured data (e.g., JSON, XML) using Snowflake's native capabilities to support complex financial reporting.
• Document data lineage and metadata to support auditability and transparency for internal and external stakeholders.
• Optimize data storage and query performance using Snowflake-specific features like automatic clustering and query profiling.
• Support data governance initiatives by aligning models with enterprise data catalogs, stewardship policies, and access controls.
• Collaborate with business analysts and compliance teams to translate financial reporting needs into robust data structures.
• Continuously refine models based on evolving financial products, market conditions, and regulatory changes.

Technical Skills

• Proficiency in designing conceptual, logical, and physical data models.
• Strong SQL skills and experience with Snowflake-specific features (e.g., Snowpipe, Streams, Tasks, Time Travel).
• Familiarity with data modeling tools (e.g., ER/Studio, ERwin, dbt, or similar).
• Understanding of data warehousing principles, dimensional modeling, and normalization techniques.
• Experience integrating structured and semi-structured data (e.g., JSON, XML) in Snowflake.