Senior Data Modeler

Title: Data Modeler (Life Insurance Domain)
Work Location: Boston, MA ( onsite)
Duration: 6-12 Months Contract

In-Person Interview Required

Responsibilities:

Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, AWS Redshift Datawarehouse , 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.
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

Qualifications:
4+ years’ experience and the ability to Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
4+ years’ experience and the ability to Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
4+ years of Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
1 year of Life and Annuity Insurance domain knowledge.

Preferred:
Ability to work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Ability to understand business requirements and define entities, attributes, mapping, relationships, and integrity rules with the proper naming conventions/standards
Willingness to assist business analysts and developers to understand and use data models that organize the data into tables and accounts for access.