o The data modeler designs, implements, and documents data modeling solutions, which include the use of relational, dimensional, and NoSQL databases.
o 10 + years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
o Be 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).
o Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
o Data modeling tools (any) and Azure SQL
o Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
o Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
o Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
o Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
o Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.