5+ years of related experience to data engineering and data modeling; retail experience preferred Intermediate to Advanced knowledge in data modeling techniques such as Entity Relationship, Database Normalization, Dimensional (Star, Snowflake), Data Vault Experience with data modeling software such as SqlDBM, Erwin, DbSchema, ER/Studio Experience with big data cloud technologies such as GCP, BigQuery, Azure, AWS, Snowflake, Databricks Experience with common data engineering tools (e.g., Git, Jira, Confluence) Proficient in SQL and Python A related degree or comparable formal training, certification, or work experience Experience working in large scale infrastructure, large data sets, and mission critical SLAs High degree of personal accountability to self and team for continued growth Knowledge of business intelligence, analytics / reporting, and application integration Knowledge of data architectures such as data warehouse, data lake, and data mesh and when to apply Advanced verbal / written communication and data presentation skills Ability to deliver on ambiguous projects with incomplete information Ability to act as a thought leader and mentor to junior team members Ability / willingness to learn new technologies as they emerge Ability to calmly work under pressure The work environment characteristics described here are representative of those a Partner encounters while performing the essential functions of this job. Data Modeling: Design/Develop/Maintain data models (including conceptual, logical, and physical models) that support application and analytical systems Leverage data modeling software to create optimized data designs that facilitate consistency, reuse and ensure efficient storage and retrieval and limit data duplications Use data modeling to create a common language with visual references to describe data and its relationships across business domains.