JD
Project Overview

Unify 2.0 project at Capgemini and Cox Communications Inc is aimed at improving overall Customer experience & journey moments by implementing a data fabric solution.

The data modeler designs, implements, and documents 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.

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), data marts, and data lakes on target platforms (SQL/NoSQL)


Understand, synthesize, oversee and govern the expansion of existing data models and the optimization of data models 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



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.

Skills

Bachelor's or master's degree in computer/information systems - technical or related data experience.

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 complex environments

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