Data Engineer - Data Modeling

Primary responsibilities of the Data Modeler include designing, developing, and maintaining enterprise grade data models that support critical business initiatives, analytics, and operational systems

Expert proficiency with Erwin Data Modeler (version 9.x or higher preferred) - including subject areas, model templates, DDL generation, forward/reverse engineering, model versioning, and complete compare functionality. Advanced SQL skills and deep understanding of Oracle (11g/12c/19c/21c) including SQL, PL/SQL, schema design, and performance tuning fundamentals as they relate to data model design. Demonstrated experience building both normalized (3NF) transactional models and dimensional models (star/snowflake) for reporting and analytics. Strong command of DDL - creating and modifying tables, indexes, constraints, sequences, synonyms, and materialized views. We are seeking a Data Modeler with deep expertise in Oracle database platforms and Erwin data modeling to design, govern, and evolve enterprise data models that support mission-critical business processes. This role is responsible for translating business and analytical requirements into robust conceptual, logical, and physical data models, and for ensuring those models are implemented consistently across our Oracle environments., Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance requirements. Familiarity with additional modeling or metadata tools (e.g., ER/Studio, PowerDesigner, Collibra, Alation). Exposure to cloud data platforms (e.g., Oracle Cloud, AWS, Azure, Snowflake, Databricks) and hybrid on-prem/cloud modeling scenarios. Working knowledge of ETL/ELT tools and data integration patterns. Experience supporting master data management (MDM) or data governance initiatives. Experience working with Microsoft SQL Server Experience working with PostGres Data vault experience Experience with Hadoop/MongoDB