Data Modeler

Primary Skills Required:

Data modeling, Snowflake Dbt

Secondary Skills Required:

Data Warehouse, Erwin

Data Modeler – Mid Level

The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.

Responsibilities

•Implement business and IT data requirements through new data strategies and designs across all dataplatforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics,

and machine learning).

•Work with business and application/solution teams to implement data strategies 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.

•Identify the architecture, infrastructure, and interfaces to data sources, security concerns, analytic models, and data visualization.

•Hands-on modeling, design, configuration, installation, performance tuning.

•Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.

Skills

•5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).

•Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.

•Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.

•Experience in team management, communication, and presentation