- 8+ 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.

- 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).

- 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.

Responsibilities :

- 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).

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

- Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.

- Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.

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