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Enterprise Data Architect, Trenton, NJ at Trenton, South Carolina, USA

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Enterprise Data Architect Trenton, NJ(Locals With DL) 15+ Years Job Description: RequiredSrEnterpriseArchitectfocusingforbuildingdataarchitectureFrameworks,Standards,andDataModelingactivitiesdefiningConceptual,Logical,PhysicalAnalyticalandCanonicalmodels.10yearsHands-on experienceofAWSArchitecturerequired. RequiredSkills DataArchitecture.Required15Years AWSCloudArchitecture.Required10Years AWSGlue/Athena/Storage/Lambda/DataBrew/RDS/Redshift,DMS.Required 10Years OperationalDataModelingSkills.Required15Years AnalyticalModelingSkills.Required15 Years DataGovernance.Required 10Years MasterDataManagement.Required15Years InformationGovernance.Required10Years MetadataManagement.Required 10Years DataCataloging.Required15Years DataEngineeringandETL.Required15Years DataQuality.Required15Years Experiencewritinginexplanatoryandproceduralstylesformultipleaudiences Required 15 Years Experienceinprioritizationandmulti-tasking Required 5 Years DesiredSkills MainframeTechnologiesincludingCobol,Db2,IMSDB/DC,VSAM,JCL.Desired5years. KnowledgeofworkinginFederal,StateandLocalGovernment.Desired5years. TheenterprisedataarchitectmusthaveadeepunderstandingofAWSservicesandcloudinfrastructure.ThisskillsetincludesproficiencyinAWScoreservicessuchasEC2,S3,VPC,andRDS,aswellasanunderstandingofadvancedserviceslikeAWSLambda,AmazonECS,andAWSOutposts. EnterpriseDataArchitectisresponsiblefordesigningtheblueprintforClientdatamanagementframework.CollaboratewithClientITmanagementandotherteamstodevelopadatastrategythatmeetsdepartmentalneedsandindustryrequirements.Createaninventoryofthedatanecessarytobuildandimplementadataarchitecture.Envision,designdatapipelinesandhowdatawillflowthroughtheenterprise.Maintainarepositoryofalldataarchitectureproceduresandartifacts.Developmeasuresthatensuredataaccuracy,integrityandaccessibility.Continuallymonitor,refineandreportdatamanagementsystemperformance.HeshouldhavestrongbusinessandcommunicationskillsaswellasknowledgetoactasabridgebetweenbusinessoperationsandIT.ofthebigdataindustry.Hemustworkwithdataengineerstointegrate,consolidate,cleanseandstructuredataforuseinanalyticsapplications. KnowledgeAndExperience 15+yearsofexperienceinBusiness/workingasaDataArchitect,DataModeler,DataAnalyst. UnderstandtheAWSCloudArchitectureandthebasicsofitsinfrastructure. HandsonExperienceandExpertiseinusingAWStools:AWSglue,databrew,AWSLambda,AWSS3,AWSDynamoDB,AWSRDS,Athena,Redshift,DMS. HandsonExperienceandExpertiseincreatingandautomatingDatapipelinesusingAWSservices. ExpertiseinDataManagementPrinciples. ExpertiseinMasterDataManagementPrinciples. ExpertiseinDataGovernanceConcepts. ExpertiseinDataEngineeringMethodologies. ExpertiseinDataModeling,SolutionArchitecture,MasterDataManagement(MDM),GatheringandSystemsAnalysisinState. Proficientin,NoSQL,RelationalMDMDataModeling. ExperienceinDataGovernancewithCollibra. ExperiencedinworkingwithdifferentSoftwareDevelopmentMethodologies. DutiesAndResponsibilities ConductanAssessmentoftheCurrentStateofDataSystems. EstablishtheSystemofRecordandDataDictionaryforDataSystems. DevelopEnterpriseArchitecture. CreateandconstructConceptual,Logical,andPhysicalModels. FacilitateBusinessSessionstovalidatebusinesstaxonomyandusecases. Provideaninitialdesignsolutionforthecoredatamodelandadditionalforthcomingdatastructures. SupportprojectrequirementsinthemodernizationofConceptual,Logical,andPhysicalModels. DefinetheClientarchitectureacrossConceptual,Logical,andPhysicallayers. DevelopandmaintainConceptual,Logical,andPhysicaldatamodelsutilizingbestpracticesandensuringoptimalqueryperformance. OptimizeandupdateConceptual,Logical,andPhysicaldatamodelstofosteranewandsecuredataenvironment. Assistinestablishingbestpracticesforstandardnamingconventions. CoordinateactivitieswiththeEDLteam,includingdevelopersandtesters. Assistinpromotingdatabaseobjectsfromlowertohigherenvironments. Leaddesignreviewsofdatamodelsandrelevantmetadatatoensureconsistency. Recommendopportunitiesforthereuseofdatamodelsacrossprojects. ConsultwithDatabaseAdministratorsregardingthecreationofphysicaldataschemas,referentialintegrity,andthefulfillmentofbusinessrequirements. CollaboratewithETLdevelopers,reportdevelopers,andendusersoneffectivedatabaseutilization. GuideSystemAnalysts,Engineers,Programmers,andothersonprojectlimitations,requirements,interfaces,andsystemintegrationchallengesandsolutions. MentorClientteammembersonallfacetsofDataModeling. Vamshi B -- Keywords: sthree database information technology New Jersey Enterprise Data Architect, Trenton, NJ [email protected]

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Fri Oct 25 01:11:00 UTC 2024

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