Enterprise Architect
Enterprise Architect
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Job Description
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 patternsrelationships and problems
Define and utilize statistical methods to solve industryspecific problems and engineer data structures Prepare detailed reports for management and otherdepartments by analyzing and interpreting data.
KNOWLEDGE AND EXPERIENCE
15yearsofexperience in Business/ITworking asaDataArchitectDataModeler 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 RelationalMDM 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 DevelopEnterpriseConceptualLogicalandPhysicalDataModels
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 fromConceptualLogical toPhysical layers. Provide solution expertise to cross functionaldelivery teams
Providearchitecturethoughtleadershipandactivelyparticipateinthedesign implementation and rollout efforts.
DevelopandmaintainConceptuallogicalandphysicaldatamodelsusingbestpracticesandDOLstandardstoensurehighdataqualityreduceddataredundancy 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 developersreport 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 capabilitiesperformance requirementsandinterfacesandsystem 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
Excellentwrittenandverbalcommunicationskills5years
Proficiencyin MS Office 5 years
Strongattentiontodetail5years
Abilitytowriteinexplanatoryandproceduralstylesformultipleaudiences5years
Skilledatprioritizationandmultitasking5years
MainframeTechnologiesincludingCobolDb2IMS DB/DC VSAM JCL and other middleware tools
KnowledgeofworkinginFederalStateandLocalGovernment
Employment Type
Full Time
