Enterprise Architect

Hello,

Zenosys is looking for Enterprise Architect client Trenton, NJ

If you are available and interested in the below opportunity, please send me updated resume. Thanks

Job Title Enterprise Architect

Location- Trenton, NJ (Hybrid)

Duration 12+ Months Contracts Highly Chance to Extend

If you are interested, please provide the following details along with the updated resume to speed up the interview process.

Full Legal Name as mentioned in Drivers' license:

Current Location:

Willing to relocate to the specified work location:

Currently on a project or actively looking:

Availability for interview:

Availability to join the project:

Date of Birth (Month/Date):

Visa Status:

Since how long the candidate has been in US

Need Education details with University Name, Location & Passing year in resume.:

LinkedIn address

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)

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 DataArchitecture.

Building Data Architecture Frameworks,

Data pipeline frameworks,

Standards, and Data Modeling Activities for UI Mod

All underlying systems, data owners, databases, andapplications working together with the Sr Data Management Lead and the Officeof the CIO in defining the Conceptual, Logical, Physical Analytical andcanonical models. This work stream will focus on several systems in scope.

The DA will analyze the data needs of the systems anddatabases and uses skills in coding to maintain secure databases. They thencollect and organize the data obtained into structured data models.Additionally, using mathematical and statistical theory methodstheypresentfindingstomanagementwhich are then used to improve various initiatives within the NJDOL systems.

Will meet with business teams and determine the best methodstogathertheinformation required.

The Enterprise Data Architect must:

• Research and properly evaluate resources ofi nformationt o determine possible limitationsi in reliability or usability
• Apply sampling techniques to effectively determine and define ideal categories to be questioned
• Compare anda nalyze 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 otherdepartments by analyzing and interpreting data.

KNOWLEDGE AND EXPERIENCE

• 15+yearsofexperience in Business/ITworking asaDataArchitect,DataModeler, DataAnalystand/or Business ProcessSupportAssociate
• Expertise in Data Modeling, SolutionArchitecture, Master Data Management (MDM),Business Process Analysis/Engineering, Business Requirements Gathering andSystemsAnalysis in State, Local Government and Public SectorDomains
• Expertise in one or more DataModelingTools
• Experienced in working with different Software Development Methodologies.

-Proficient in, NoSQL, Relational,MDM and Canonical DataModeling.

• 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

• ConductCurrentStateAssessmentofDataSystems
• DefineSystem of Record and Data Dictionary for Data Systems DevelopEnterpriseConceptual,LogicalandPhysicalDataModels
• Creates and buildsConceptual, Logical and Physical Models
• FacilitatesBusinessSessionsandvalidates businesstaxonomy andusecasesaligned to data models
• Provideinitialdesignsolutionfor coredatamodelaswell as for additional upcoming data sources and required models supporting
• SupportProject Needs todesign ConceptualLogical and Physical Models toModernization Efforts

Define theNJDOL architecture fromConceptual,Logical toPhysical layers. Provide solution expertise to cross functionaldelivery teams

• Providearchitecturethoughtleadershipandactivelyparticipateinthedesign, implementation, and roll-out efforts.
• DevelopandmaintainConceptual,logicalandphysicaldatamodelsusingbestpracticesandDOLstandardstoensurehighdataquality,reduceddataredundancy, and good query performance.
• Reverseand forward engineer data models in Erwin or other Data ModelingTools
• Optimizeand update Conceptual, logical and physical data models to support new andexisting projects and ensure business users are working ina clean safedata environment.
• Assistin the creation of best practices for standard naming conventions and codingpractices to ensure consistency of data models.
• Coordinateactivities with the rest of the EDL team including developers and testers;Assistinpromotingdatabaseobjectsfromlowertohigherenvironments.
• Leaddesign reviews of data models and other relevant metadata to ensureconsistency, quality, accuracy and integrity.
• Recommendopportunitiesforreuseofdatamodelsinnewprojects.
• Consultwith Database Administrators concerning the creation of physical data schemafrom the logical model by making recommendations, designing referentialintegrity, 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 requirementsandinterfaces,andsystem integration challenges and solutions.
• Mentor DOL teammembers on all aspects of DataModeling.

REQUIREDSKILLS

• DataArchitecture 15 Years
• AWSCloudArchitecture15Years
• OperationalDataModelingSkills15Years
• AnalyticalModeling Skills 15 Years
• CanonicalModeling 10 Years
• InformationGovernance 10Years
• MasterDataManagement15years
• MetadataManagement 10 Years
• DataCataloging 15 Years
• DataEngineeringandETL15Years
• DataQuality 15 Years
• Excellentwrittenandverbalcommunicationskills,5years
• Proficiencyin MS Office, 5 years
• Strongattentiontodetail,5years
• Abilitytowriteinexplanatoryandproceduralstylesformultipleaudiences,5years
• Skilledatprioritizationandmulti-tasking,5years
• MainframeTechnologiesincludingCobol,Db2,IMS DB/DC, VSAM, JCL and other middleware tools
• KnowledgeofworkinginFederal,StateandLocalGovernment

If interested Please send me your resume at

Thanks,
HemendraKalal,
Ph: (O)
Sr. Technical Recruiter,
Fax:
Zenosys Consulting,
Web:

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.