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Specialized Snowflake and enterprise data modeling reduces applicant pool, lowering competition.
Core data modeling skills transfer across industries, but ERP/domain preference increases specificity.
Explicit years, Snowflake, Informatica, dimensional modeling and ERP experience create strict screening filters.
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Lead design and development of enterprise-scale data models, including conceptual, logical, and physical layers, focused on Snowflake Data Cloud.
Own dimensional modeling efforts involving fact tables, conformed dimensions, and SCD Type 1/Type 2 implementations.
Provide technical leadership and mentorship in data warehousing and data mart design, with hands-on complex SQL and Snowflake expertise.
7-10+ years overall experience in data engineering, data modeling, or related roles.
6-8 years of experience specifically as a Data Modeler or Data Architect.
Strong expertise in dimensional modeling (fact tables, conformed dimensions, SCD Type 1/Type 2), complex SQL queries, and Snowflake Data Cloud.
Experience designing enterprise-scale data warehouses and data marts; familiarity with Informatica PowerCenter.
Proven ability to lead and mentor small technical teams while balancing hands-on technical contributions.
Experience communicating complex technical concepts effectively to non-technical stakeholders and senior leaders.
Prior exposure to modeling tools (e.g., SQL DBM, ERWIN), understanding of modern data lake architectures, and ERP domain data modeling (Oracle EBS, JDE, Oracle Cloud ERP) enhances fit.