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Jobs or company...

Enterprise Data Architect in Trenton, NJ (HYBRID) - 749904

  • Full Time, onsite
  • Super Technology Solutions, Inc.
  • Hybrid, United States of America
Salary undisclosed

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Dice
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One of our premier clients is looking for an Enterprise Data Architect in Trenton, NJ (HYBRID) for a contract position. If interested, please submit your resume ASAP indicating (1) current location (2) desired hourly rate, W2 or 1099? (3) Your email address.

RESPONSIBILITIES:
Conduct an Assessment of the Current State of Data Systems
Establish the System of Record and Data Dictionary for Data Systems
Develop Enterprise Architecture
Create and construct Conceptual, Logical, and Physical Models
Facilitate Business Sessions to validate business taxonomy and use cases
Provide an initial design solution for the core data model and additional forthcoming data structures
Support project requirements in the modernization of Conceptual, Logical, and Physical Models
Develop and maintain Conceptual, Logical, and Physical data models utilizing best practices and ensuring optimal query performance
Optimize and update Conceptual, Logical, and Physical data models to foster a new and secure data environment
Assist in establishing best practices for standard naming conventions
Coordinate activities with the EDL team, including developers and testers
Assist in promoting database objects from lower to higher environments
Lead design reviews of data models and relevant metadata to ensure consistency
Recommend opportunities for the reuse of data models across projects
Consult with Database Administrators regarding the creation of physical data schemas, referential integrity, and the fulfillment of business requirements
Collaborate with ETL developers, report developers, and end users on effective database utilization
Guide System Analysts, Engineers, Programmers, and others on project limitations, requirements, interfaces, and system integration challenges and solutions
Mentor DOL team members on all facets of Data Modeling.

REQUIRED SKILLS:
Data Architecture 15 Years
AWS Cloud Architecture 10 Years
AWS Glue/Athena/Storage/Lambda/Data Brew/RDS/Redshift, DMS 10 Years
Operational Data Modeling Skills 15 Years
Analytical Modeling Skills 15 Years
Data Governance 10 Years
Master Data Management 15 years
Metadata Management 10 Years
Data Cataloging 15 Years
Data Engineering and ETL 15 Years
Data Quality 15 Years
Excellent written and verbal communication skills 15 years
Strong attention to detail 15 years
Ability to write in explanatory and procedural styles for multiple audience 15 years
Skilled at prioritization and multi-tasking 5 years

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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