Enterprise Architect - Randstad

apartmentRandstad placeTrenton calendar_month 
job summary:

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.

location: Trenton, New Jersey
job type: Contract
salary: $99.88 - 104.88 per hour
work hours: 8am to 5pm

education: Bachelors

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.

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
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

qualifications:

  • Experience level: Experienced
  • Minimum 15 years of experience
  • Education: Bachelors
skills:
  • AWS Cloud Formation (15 years of experience is required)
  • Data Modeling
  • Data Architecture (15 years of experience is required)
  • ETL (15 years of experience is required)

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

This posting is open for thirty (30) days.

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