Company:
Crescens Inc.
Location: Trenton
Closing Date: 19/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job title: Enterprise Architect
Location: Trenton, NJ
Duration: 12+ months
Type: Contract
Short Description:
Need a Sr Enterprise Architect focusing for building data architecture Frameworks,Standards, and Data Modeling activities defining Conceptual, Logical, PhysicalAnalytical and Canonical models. Solid Knowledge of AWS Architecture required
Job Description:
Must have Excellent written and verbal communication skills, meticulous attention to detail, as well as the ability
The Enterprise Information Strategy is divided into several Tracks of work. The Sr Enterprise Data Architect will 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, andapplications working together with the Sr Data Management defining the Conceptual, Logical, Physical Analytical andcanonical models. This work stream will focus
The DA will analyze the data needs of the systems anddatabases and uses skills in coding to maintain secure 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
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 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
otherdepartments by analyzing and interpreting data.
KNOWLEDGE AND EXPERIENCE
15+yearsofexperience in Business/ITworking asaDataArchitect,DataModeler, DataAnalystand/or Business Pro
Expertise in Data Modeling, SolutionArchitecture, Master Data Management (MDM),Business Process Analysis
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
Required Skills :
DataArchitecture
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
Knowledgeof working in Federal,State andLocalGovernment
Location: Trenton, NJ
Duration: 12+ months
Type: Contract
Short Description:
Need a Sr Enterprise Architect focusing for building data architecture Frameworks,Standards, and Data Modeling activities defining Conceptual, Logical, PhysicalAnalytical and Canonical models. Solid Knowledge of AWS Architecture required
Job Description:
Must have Excellent written and verbal communication skills, meticulous attention to detail, as well as the ability
The Enterprise Information Strategy is divided into several Tracks of work. The Sr Enterprise Data Architect will 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, andapplications working together with the Sr Data Management defining the Conceptual, Logical, Physical Analytical andcanonical models. This work stream will focus
The DA will analyze the data needs of the systems anddatabases and uses skills in coding to maintain secure 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
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 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
otherdepartments by analyzing and interpreting data.
KNOWLEDGE AND EXPERIENCE
15+yearsofexperience in Business/ITworking asaDataArchitect,DataModeler, DataAnalystand/or Business Pro
Expertise in Data Modeling, SolutionArchitecture, Master Data Management (MDM),Business Process Analysis
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
Required Skills :
DataArchitecture
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
Knowledgeof working in Federal,State andLocalGovernment
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