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Direct Client openings for IAM Specialist and Data Architect in NJ at Trenton, New Jersey, USA
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Kindlylet me know your interest in the following requirements.

Candidate must be local to New Jersey

Requirement 1:

IAM Specialist

Client: State of New Jersey - DOE

Job ID: 748055

Location: Trenton, NJ

Duration: 6+ months

Interview: Webcam

Job Description

The Identity Management Specialist will lead aProof of Concept (POC) on consolidating authentication methods and develop acomprehensive strategy for implementing SSO, MFA, and RBAC across multipleapplications, with a focus on scalability and security.

The Identity Management Specialist will provideexpert guidance to develop a streamlined identity management solution for thedepartment. The role involves leading a POC focused on consolidating disparateauthentication methods, providing recommendations for implementing SingleSign-On (SSO), Multi-Factor Authentication (MFA), and Role-Based Access Control(RBAC). The specialist will collaborate with the department to ensure seamlessintegration with existing infrastructure while focusing on security, scalability,and future readiness. The specialist's deliverables will include documentation,best practices, and strategic recommendations for a secure identity managementapproach.

Responsibilities:

Lead the POC to consolidate authentication methods and create a unified identity management solution.
Provide recommendations for implementing SSO, MFA, and RBAC.
Design a scalable identity management framework that integrates with existing infrastructure.
Ensure the security of the system with best practices for MFA and user authentication.
Collaborate with stakeholders to understand access needs and apply RBAC to enhance security compliance.
Deliver comprehensive documentation, strategies, and best practices for future implementation.

Skill

Required / Desired

Amount

Actual years used

Last year used

Identity and Access Management (IAM)

Required

10

Single Sign-On (SSO) Design and Implementation

Required

10

Multi-Factor Authentication (MFA) Deployment

Required

10

Role-Based Access Con

Desired

10

Security Protocols and Best Practices

Required

10

Infrastructure and System Integration

Required

10

Scalability and Future Readiness in IAM

Required

10

Documentation and Strategy Develop

Required

10

Proof of Concept (POC) execution

Required

10

Familiarity with Cloud Services (AWS, Azure, etc)

Required

10

Requirement 2:

Data Architect

Client: State of New Jersey - DOL

Job ID: 749904

Location: Trenton, NJ

Duration: 6+ Month (Multiple YearContract)

Mode of Interview: in person

Note: Needa local contractor who is available to come into the office for meetings.Contractor will be able to work remotely a lot of the time. This requirementwill be extended 1-2 years.

JobDescription

Needa Sr Enterprise Architect focusing for building data architecture Frameworks,Standards, and Data Modeling activities defining Conceptual, Logical, PhysicalAnalytical and Canonical models. 15 yrs Hands on Experience of AWS Architecturerequired

Musthave Excellent written and verbal communication skills, meticulous attention todetail, as well as the ability to understand abstract concepts.

EnterpriseData Architect is responsible for designing the blueprint for NJDOL's datamanagement framework. Collaborate with NJDOL IT management and other teams todevelop a data strategy that meets departmental needs and industryrequirements. Create an inventory of the data necessary to build and implementa data architecture. Envision, design data pipelines and how data will flowthrough the enterprise. Maintain a repository of all data architectureprocedures and artifacts. Develop measures that ensure data accuracy, integrityand accessibility. Continually monitor, refine and report data managementsystem performance. He should have strong business and communication skills aswell as knowledge to act as a bridge between business operations and IT. of thebig data industry. He must work with data engineers to integrate, consolidate,cleanse and structure data for use in analytics applications.

Theenterprise data architect must have a deep understanding of AWS services andcloud infrastructure. This skill set includes proficiency in AWS core servicessuch as EC2, S3, VPC, and RDS, as well as an understanding of advanced serviceslike AWS Lambda, Amazon ECS, and AWS Outposts.

KNOWLEDGEAND EXPERIENCE

15+years of experience in Business/working as a Data Architect, Data Modeler, DataAnalyst

Understandthe AWS Cloud Architecture and the basics of its infrastructure

-Hands on Experience and Expertise in using AWS tools: AWS glue, data brew, AWSLambda, AWS S3, AWS Dynamo DB, AWS RDS, Athena, Redshift, DMS

Handson Experience and Expertise in creating and automating Data pipelines using AWSservices.

Expertisein Data Management Principles

Expertisein Master Data Management Principles

Expertisein Data Governance Concepts

Expertisein Data Engineering Methodologies

Expertisein Data Modeling, Solution Architecture, Master Data Management (MDM),Gathering and Systems Analysis in State,

Proficientin, NoSQL, Relational MDM Data Modeling.

Experiencein Data Governance with Collibra

Experiencedin working with different Software Development Methodologies.

DUTIESand RESPONSIBILITIES

Conductan Assessment of the Current State of Data Systems

Establishthe System of Record and Data Dictionary for Data Systems

DevelopEnterprise Architecture

Createand construct Conceptual, Logical, and Physical Models

FacilitateBusiness Sessions to validate business taxonomy and usecases

Providean initial design solution for the core data model and additional forthcomingdata structures

Supportproject requirements in the modernization of Conceptual, Logical, and PhysicalModels

Definethe NJDOL architecture across Conceptual, Logical, and Physicallayers

Developand maintain Conceptual, Logical, and Physical data modelsutilizing bestpractices and ensuring optimal query performance

Optimizeand update Conceptual, Logical, and Physical data models to foster a new andsecure data environment

Assistin establishing best practices for standard naming conventions

Coordinateactivities with the EDL team, including developers and testers

Assistin promoting database objects from lower to higher environments

Leaddesign reviews of data models and relevant metadata to ensure consistency

Recommendopportunities for the reuse of data models across projects

Consultwith Database Administrators regarding the creation of physical data schemas,referential integrity, and the fulfilment of business requirements

Collaboratewith ETL developers, report developers, and end users oneffective databaseutilization

GuideSystem Analysts, Engineers, Programmers, and others on project limitations,requirements, interfaces, and system integration challenges and solutions

MentorDOL team members on all facets of Data Modeling.

REQUIREDSKILLS

DataArchitecture 15 Years

AWSCloud Architecture 10 Years

AWSGlue/Athena/Storage/Lambda/Data Brew/RDS/Redshift, DMS 10 Years

OperationalData Modeling Skills 15 Years

AnalyticalModeling Skills 15 Years

DataGovernance 10 Years

MasterData Management 15 years

MetadataManagement 10 Years

DataCataloging 15 Years

DataEngineering and ETL 15 Years

DataQuality 15 Years

Excellentwritten and verbal communication skills 15 years

Strong  attention to detail 15 years

Abilityto write in explanatory and procedural styles for multiple audience 15 years

Skilledat prioritization and multi-tasking 5 years

DESIREDSKILLS

MainframeTechnologies including Cobol, Db2, IMS DB/DC, VSAM, JCL 5 years

Knowledgeof working in Federal, State and Local Government 5 years

Skill

Required / Desired

Amount

Actual years used

Last Years used

Data Architecture

Required

15

AWS Cloud Architecture

Required

10

AWS Glue/Athena/Storage/Lambda/Data Brew/RDS/ Redshift, DMS

Required

10

Operational Data Modeling Skills

Required

15

Analytical Modeling Skills

Required

15

Data Governance

Required

10

Master Data Management

Required

15

Information Governance

Required

10

Metadata Management

Required

10

Data Cataloging

Required

15

Data Engineering and ETL

Required

15

Data Quality

Required

15

Experience writing in explanatory and procedural styles for multiple audiences

Required

15

Experience in prioritization and multi-tasking

Required

5

Mainframe Technologies including COBOL, DB2, IMS DB/DC, VSAM, JCL

Desired

5

Knowledge of working in Federal, State and Local Government

Desired

5

RekaSathiyamoorthy     

Team Lead

[email protected] (Email)

579Executive Campus Dr, Suite 370, Westerville, OH 43082

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Direct Client openings for IAM Specialist and Data Architect in NJ
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Tue Oct 29 01:29:00 UTC 2024

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Location: Trenton, New Jersey