Data Modeler

Job Description

Data Modeling, Dimensional Modeling, Erwin, Snowflake, AWS, DynamoDB, Performance & Cost optimization on Cloud DB, Advanced SQL, DB2, Gitlab.

1. Implement business and IT data requirements through new data strategies and designs across all data platforms (relational and cloud) and data tools (ETL and visualization).
   
2. Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models using Erwin Data Modeler tool.
   
3. Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
   
4. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
   
5. Extensive hands-on experience in modeling, design, configuration, installation, performance tuning.
   
6. Define and maintain common data definitions and taxonomies.
   
7. Maintain data architecture and its ongoing alignment with customer data standards.
   
8. Define and operate data governance process that oversees data architecture.
   
9. Prioritizing data convergence activities and overseeing the completion of alignment activities.
   
10. Review proposed changes or additions to the defined data architecture.
    

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