Data Modeler (1114295)

Location:

New York City, NY

Salary: $135,000.00 USD Annually - $140,000.00 USD Annually

Description

Job Title: Data Modeler

Location: Hybrid – New York, NY 10045

Employment-Fulltime

Role Overview

We are seeking a highly skilled Data Modeler with ER Studio expertise to join a Data Engineering team focused on designing, developing, and delivering data products leveraging Databricks on AWS . This role involves creating robust data models at both enterprise and data product levels, ensuring alignment with business requirements and industry standards.

Key Responsibilities

• Apply ER Studio and advanced data modeling techniques (Conceptual, Logical, Physical, 3NF, Dimensional) to support enterprise and product-level data architecture.
• Collaborate with Business Architects, Solution Architects, and Data Stewards to capture business requirements and translate them into conceptual and logical data models.
• Maintain and enhance data modeling standards and guidelines.
• Validate physical data models to ensure consistency with logical designs.
• Develop Databricks notebooks using Spark SQL and PySpark for data engineering tasks.
• Support enterprise data catalog setup and enrichment (Unity Catalog).
• Contribute to building and testing data pipelines for data products.

Required Skills & Experience

• 4+ years of hands-on data modeling experience with ER Studio.
• Strong expertise in Conceptual, Logical, Physical modeling, 3NF, and Dimensional modeling.
• Solid SQL skills for data analysis and transformation.
• Experience with Databricks and understanding of Medallion Architecture.
• Working knowledge of Unity Catalog.
• Familiarity with traditional DBMS (Oracle) and cloud DBMS (Redshift, Databricks).
• Background in data management and supporting data pipeline development.
• Experience in financial sector, especially market securities reference data and fixed income instruments (e.g., Treasuries).
• Strong communication skills (verbal, written, and presentation).

Nice to Have

• Knowledge of AWS services related to data engineering.
• Exposure to data governance and metadata management.

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Contact: [email protected]

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