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Enterprise Architect @ NJ -NEED LOCALS at Enterprise, Utah, USA
Email: [email protected]
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NJDOL Enterprise Architect

1 John Fitch Plaza, 2nd Floor Trenton, NJ 08625 Hybrid

Interview type: Both Phone and In Person

Short Description:

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) 

Complete Description:

Note: Need a local contractor who is available to come into the office for meetings. Contractor will be able to work remotely a lot of the time.

Must have Excellent written and verbal communication skills, meticulous attention to detail, as well as the ability to understand abstract concepts.

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 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 to gather the information required.

The Enterprise Data Architect must:

Research and properly evaluate resources of information to 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 asa 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 System 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

DUTIES and RESPONSIBILITIES

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 aswell 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

Providearchitecturethoughtleadershipandactivelyparticipateinthedesign, implementation, and roll-out efforts.

DevelopandmaintainConceptual,logicalandphysicaldatamodelsusingbestpracticesandDOLstandardstoensurehighdataquality,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 ina clean safedata 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 models in new projects.

Consult with Database Administrators concerning the creation of physical data schema 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.

Mentor DOL team members on all aspects of Data Modeling.

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

MainframeTechnologiesincludingCobol,Db2,IMS DB/DC, VSAM, JCL and other middleware tools

Knowledge of working in Federal, State and Local Government

Question 3

Where does your candidate currently reside (City & State)

Question 4

If your candidate resides more than 1 hour from the Client site, will your candidate relocate for the position

Question 6

Please provide link to LinkedIn profile if available.

Skills

Years used

Last used

Data Architecture Required 15 Years

AWS Cloud Architecture Required 15 Years

Operational Data Modeling Skills

Required 15 Years

Analytical Modeling Skills Required 15 Years

Canonical Modeling Required 10 Years

Information Governance Required 10 Years

Metadata Management Required 15 Years

Data Cataloging Required 15 Years

Proficiency in MS Office Required 5 Years

Experience documenting in an explanatory and procedural style for multiple audiences

Required 5 Years

Mainframe Technologies including Cobol, Db2, IMS DB/DC, VSAM, JCL and other middleware tools Desired 5 Years

Knowledge of working in Federal, State and Local Government Desired 5 Years

Leadership experience with experience managing and mentoring small teams

Required 5 Years

Bachelors Degree Required

S. LEELA

 MADHURI

US IT RECRUITER

Tel: 
703-831-8282 Ext. 
2518

Email: [email protected]

linkedin.com/in/leela-madhuri-10ab66258

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Keywords: user interface database information technology golang microsoft New Jersey
Enterprise Architect @ NJ -NEED LOCALS
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Tue Sep 17 19:27:00 UTC 2024

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Location: Trenton, New Jersey