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Data Modeler _ Hybrid _ Boston, MA
Salary undisclosed
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Data Modeler
Onsite - Boston, MA
Responsibilities:
- Develop and implement conceptual, logical, and physical data models across platforms, including RDBMS, AWS Redshift, ODS, data marts, and data lakes (SQL/NoSQL).
- Oversee data architecture expansion and optimize query performance using best practices, working both independently and collaboratively.
- Translate business and IT requirements into data strategies and designs across all data platforms (relational, dimensional, NoSQL) and data tools (reporting, visualization, analytics, machine learning).
- Collaborate with business and application teams to implement data strategies, data flows, and conceptual/logical/physical models.
- Define and enforce data modelling standards, best practices, and tools for enterprise data models.
- Identify infrastructure, interfaces, and tools for automated data loads, security, analytics, and data visualization.
- Perform hands-on modelling, design, configuration, installation, performance tuning, and sandbox proof-of-concept (POC) projects.
- Address project requirements proactively, manage risks, and communicate challenges to reduce project delivery delays.
Qualifications:
- Expertise in defining entities, attributes, relationships, mappings, and integrity rules using standard naming conventions.
- Knowledge of life and annuity insurance domains.
- Ability to assist business analysts and developers in understanding and applying data models for efficient data organization and access.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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