CloudERPOracleSQLData EngineeringData LakeAnalyticsSnowflakeSQL Server
About this role
Role Overview
Area(s) of responsibility JD for the Lead Data Modeler with Snowflake:
Collaborate with Database administrator and Data Engineers to translate data models into physical database structures, ensuring optimal performance and data integrity.
Define and enforce data models standard, naming conventions, and best practices to maintain data consistency and quality.
Experience designing Data Marts and Data Warehouses on Enterprise Scale.
Demonstrate capabilities in designing and creating data models including Conceptual, Logical and Physical models, as per the requirements.
Requirements
Min 17+ years of overall experience in data engineering, data modeling, analytics engineering, or related roles, with minimum 8-10 years being Data Modeler or Data Architect.
Expertise in data modeling, including dimensional modeling, fact table design, conformed dimensions, and Slowly Changing Dimensions (SCD Type 1 and Type 2).
Demonstrate capabilities in designing and creating data models including Conceptual, Logical and Physical models, as per the requirements.
Experience in ERWIN, SQL Database Modeler (SQL DBM) or ER/Studio as modeling tool is required, with additional Model Mart management experience preferred (client is using SQL DBM).
Knowledge in both OLTP and OLAP Modelling.
Solid understanding of modern data lake and medallion architecture, including bronze, silver, and gold layers.
Very good hands-on knowledge/experience with complex SQL queries.
Experience designing Data Marts and Data Warehouses on Enterprise Scale.
Collaborate with Database administrator and Data Engineers to translate data models into physical database structures, ensuring optimal performance and data integrity.
Define and enforce data models standard, naming conventions, and best practices to maintain data consistency and quality.
Data modeling ERP domain experience in at least one platform, such as Oracle EBS, JDE, or Oracle Cloud ERP.
Experience in Snowflake Data Cloud, including virtual warehouses, roles and security, stages and file formats, tasks and streams, and features such as Time Travel and Fail-safe.
Additional experience in Oracle and SQL Server Databases preferred.