Data Modeler at Washington, DC(Hybrid)

• Responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
• Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
• Implement business and DT data requirements through designing across all data platforms (relational, dimensional, and NoSQL).
• Experience in writing SQL queries to perform data analysis, data profiling and ensuring referential integrity is maintained.
• Understands core concepts of metadata management, data lakes, data warehouse and data lineage.
• Work with business and application/solution teams to build data flows and develop conceptual/logical/physical data models.
• Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
• Work proactively and independently to address business requirements and articulate issues/challenges to reduce risks

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