Required Qualifications
• 6+ years of hands-on data modeling experience in enterprise data warehouse or large-scale analytics environments.
• Advanced proficiency with Erwin Data Modeler or ER/Studio, including model templates, subject areas, and forward/reverse engineering.
• Strong command of relational (3NF) and dimensional modeling techniques, including star/snowflake schemas and slowly changing dimensions.
• Expert-level SQL across at least one enterprise warehouse platform such as Teradata, Oracle, SQL Server, BigQuery, or Snowflake.
• Experience producing metadata, source-to-target mappings, and data lineage documentation within a governance framework.
• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
Preferred Qualifications
• Experience modeling for cloud data warehouse migrations, especially from Teradata or SQL Server to Google BigQuery.
• Telecommunications domain knowledge (subscriber, network, billing, churn, or customer experience data).
• Exposure to Data Vault 2.0, medallion architecture, or modeling semi-structured data (JSON, XML).
• Google Cloud Professional Data Engineer or a data management certification (e.g., CDMP).
• Familiarity with NoSQL modeling and big data ecosystems such as Hadoop and Hive.
