Enterprise Architect (Face to Face Interview)

Job Description:

The Sr Enterprise Data Architect will focus on:

• AWS Cloud Data Architecture.
• Building Data Architecture Frameworks,
• Data pipeline frameworks,
• Standards, and Data Modeling Activities for UI Mod
• All underlying systems, data owners, databases, and applications working together with the Sr Data Management Lead and the Office of the CIO in defining the Conceptual, Logical, Physical Analytical and canonical models. This work stream will focus on several systems in scope.
• The DA will analyze the data needs of the systems and databases and uses skills in coding to maintain secure databases. They then collect and organize the data obtained into structured data models. Additionally, using mathematical and statistical theory methods they present findings to management which are then used to improve various initiatives within the NJDOL systems.
• Will meet with business teams and determine the best methods together the information required.

KNOWLEDGE AND EXPERIENCE

• 15+yearsofexperience in Business/IT working as a Data Architect, DataModeler, 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
• Knowledge of Data Engineering

REQUIREDSKILLS

• Data Architecture 15 Years
• AWSCloudArchitecture15Years
• OperationalDataModelingSkills15Years
• Analytical Modeling Skills 15 Years
• Canonical Modeling 10 Years
• Information Governance 10Years
• MasterDataManagement15years
• Metadata Management 10 Years
• Data Cataloging 15 Years
• DataEngineeringandETL15Years
• Data Quality 15 Years
• Excellentwrittenandverbalcommunicationskills,5years
• Proficiency in MS Office, 5 years
• Strongattentiontodetail,5years
• Abilitytowriteinexplanatoryandproceduralstylesformultipleaudiences,5years
• Skilledatprioritizationandmulti-tasking,5years
• Mainframe Technologies including Cobol, Db2, IMS DB/DC, VSAM, JCL and other middleware tools
• Knowledge of working in Federal, State and Local Government

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