Job Title: Enterprise Architect/ AWS Data Architect
Location: Trenton, NJ (Onsite)
Duration: Contract
Need a Sr. Enterprise Architect focusing for building data architecture Frameworks, Standards, and Data Modeling activities defining Conceptual, Logical, Physical Analytical and Canonical models. Solid Knowledge of AWS Architecture required - (15 yrs)
The Enterprise Information Strategy is divided into several Tracks of work. 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 EA 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.
The Enterprise Data Architect must:
• Research and properly evaluate resources of information o determine possible limitations in reliability or usability
• Apply sampling techniques to effectively determine and define ideal categories to be questioned
• Compare and analyze provided statistical information to identify patterns, relationships, and problems
• Define and utilize statistical methods to solve industry-specific problems and engineer data structures Prepare detailed reports for management and other departments by analyzing and interpreting data.
Knowledge And Experience
• 15+yearsofexperience 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
• Knowledge of Data Engineering
Required skills
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
MainframeTechnologiesincludingCobol,Db2,IMS DB/DC, VSAM, JCL and other middleware tools
Knowledge of working in Federal, State and Local Government
