ONLY W2
Position: Enterprise Architect
Location: Trenton, NJ
Duration: Contract opportunity
Job Description:
Conduct Current State Assessment of Data Systems
Define System of Record and Data Dictionary for Data Systems Develop Enterprise Conceptual, Logical and Physical Data Models
Creates and builds Conceptual, Logical and Physical Models
Facilitates Business Sessions and validates business taxonomy and use cases aligned to data models
Provide initial design solution for core data model as well as for additional upcoming data sources and required models supporting
Support Project Needs to design Conceptual Logical and Physical Models to Modernization Efforts
Define the NJDOL architecture from Conceptual, Logical to Physical layers. Provide solution expertise to cross functional delivery teams
Provide architecture thought leadership and actively participate in the design, implementation, and roll-out efforts.
Develop and maintain Conceptual, logical and physical datamodelsusingbestpracticesandDOLstandardstoensurehighdataquality,reduceddataredundancy, and good query performance.
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 and ensure business users are working in a clean safe data environment.
Assist in the creation of best practices for standard naming conventions and coding practices to ensure consistency of data models.
Coordinate activities with the rest of the EDL team including developers and testers;Assistinpromotingdatabaseobjectsfromlowertohigherenvironments.
Lead design reviews of data models and other relevant metadata to ensure consistency, quality, accuracy and integrity.
Recommend opportunities for reuse of data model sin new projects.
Consult with Database Administrators concerning the creation of physical data schem a from the logical model by making recommendations, designing referential integrity, and ensuring business requirements are satisfied.
Consult with ETL developers, report developers, end users concerning how to use the database as designed and how to navigate efficiently within the database.
Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces, and system integration challenges and solutions.
Skills:
Data Architecture
AWS Cloud Architecture
Operational Data Modeling Skills
Analytical Modeling Skills
Canonical Modeling
Information Governance
Metadata Management
Data Cataloging
Data Engineering and ETL
Proficiency in MS Office
Experience documenting in an explanatory and procedural style for multiple audiences
Mainframe Technologies including Cobol, Db2, IMS DB/DC, VSAM, JCL and other middleware tools
Knowledge of working in Federal, State and Local Government
Leadership experience with experience managing and mentoring small teams
Bachelors Degree