Enterprise Data Architect

1 week ago

Trenton, New Jersey, United States Rose International Full time
Job Title: Sr. Enterprise Data Architect

Job Summary:

We are seeking a highly skilled Sr. Enterprise Data Architect to join our team at Rose International. As a key member of our data architecture team, you will be responsible for designing and implementing data architecture frameworks, standards, and data modeling activities that define conceptual, logical, physical, analytical, and canonical models.

Key Responsibilities:

  • Conduct current state assessments of data systems to identify areas for improvement.
  • Define system of record and data dictionary for data systems.
  • Develop enterprise conceptual, logical, and physical data models.
  • Facilitate business sessions to validate business taxonomy and use cases aligned to data models.
  • Provide initial design solutions for core data models and additional upcoming data sources and required models.
  • Support project needs to design conceptual, logical, and physical models for modernization efforts.
  • Define client architecture from conceptual, logical to physical layers.
  • Provide solution expertise to cross-functional delivery teams.
  • Develop and maintain conceptual, logical, and physical data models using best practices and client standards.
  • Reverse and forward engineer data models in Erwin or other data modeling tools.
  • Optimize and update conceptual, logical, and physical data models to support new and existing projects.

Requirements:

  • 15+ years of experience in business/IT working as a data architect, data modeler, data analyst, and/or business process support associate.
  • Expertise in data modeling, solution architecture, master data management (MDM), business process analysis/engineering, business requirements gathering, and systems analysis in state, local government, and public sector domains.
  • Expertise in one or more data modeling tools.
  • Experienced in working with different software development methodologies.
  • Proficient in NoSQL, relational, MDM, and canonical data modeling.
  • Extensive knowledge of data management principles.
  • Extensive knowledge of master data management principles.
  • Knowledge of data governance concepts.
  • Knowledge of data engineering methodologies.

Benefits:

Rose International is an equal opportunity employer and offers a competitive benefits package to its employees.

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