The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational SQL databases. These solutions support enterprise information management and other business interests.

The successful candidate will:

Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS) on target platforms (SQL).
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 IT data requirements through new data strategies and designs across all data platforms (relational, dimensional) and data tools (reporting, visualization, analytics).
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 and reporting.
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.
Bachelor’s or master’s degree in computer/data science technical or related experience.
6+ years of hands-on relational, reporting experience (using RDBMS, dimensional, SQL data platform technologies).
Good knowledge of metadata management, data modeling, and related tools required.
Strong experience in working with PostgreSQL databases.
Experience in team management, communication, and presentation. |

Senior PostgreSQL Developer