| Data Architect - Direct Client - Local to NJ - 15+ profiles at Remote, Remote, USA |
| Email: [email protected] |
| From: Megha, Infologitech [email protected] Reply to: [email protected] Hi Greetings from Info Logitech, Inc Here is our open requirement which can be filled immediately Kindly respond to this requirement with your resume, contact and current location info to speed up the interview process Job Position : NJDOL Enterprise Data Architect - 749904 Job Location : Trenton, NJ Job Duration : 12 Months Job Description : Need a Sr Enterprise Architect focusing for building data architecture Frameworks, Standards, and Data Modeling activities defining Conceptual, Logical, Physical Analytical and Canonical models. 15 yrs Hands on Experience of AWS Architecture required Note: Need a 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 requirement will be extended 1-2 years. Must have Excellent written and verbal communication skills, meticulous attention to detail, as well as the ability to understand abstract concepts. Enterprise Data Architect is responsible for designing the blueprint for NJDOL's data management framework. Collaborate with NJDOL IT management and other teams to develop a data strategy that meets departmental needs and industry requirements. Create an inventory of the data necessary to build and implement a data architecture. Envision, design data pipelines and how data will flow through the enterprise. Maintain a repository of all data architecture procedures and artifacts. Develop measures that ensure data accuracy, integrity and accessibility. Continually monitor, refine and report data management system performance. He should have strong business and communication skills as well as knowledge to act as a bridge between business operations and IT. of the big data industry. He must work with data engineers to integrate, consolidate, cleanse and structure data for use in analytics applications. The enterprise data architect must have a deep understanding of AWS services and cloud infrastructure. This skill set includes proficiency in AWS core services such as EC2, S3, VPC, and RDS, as well as an understanding of advanced services like AWS Lambda, Amazon ECS, and AWS Outposts. KNOWLEDGE AND EXPERIENCE 15+ years of experience in Business/working as a Data Architect, Data Modeler, Data Analyst Understand the AWS Cloud Architecture and the basics of its infrastructure Hands on Experience and Expertise in using AWS tools: AWS glue, data brew, AWS Lambda,AWS S3, AWS Dynamo DB, AWS RDS, Athena, Redshift, DMS Hands on Experience andExpertise in creating and automating Data pipelines using AWS services. Expertise in Data Management Principles Expertise in Master Data Management Principles Expertise in Data Governance Concepts Expertise in Data Engineering Methodologies Expertise in Data Modeling, Solution Architecture, Master DataManagement (MDM), Gathering and Systems Analysis in State, Proficient in, NoSQL, Relational MDM Data Modeling. Experience in Data Governance with Collibra Experienced in working with different SoftwareDevelopment Methodologies. DUTIES and RESPONSIBILITIES Conduct an Assessment of the Current State of Data Systems Establish the System of Record and Data Dictionary for Data Systems Develop Enterprise Architecture Create and construct Conceptual, Logical, and Physical Models Facilitate Business Sessions to validate business taxonomy and usecases Provide an initial design solution for the core data model andadditional forthcoming data structures Support project requirements in the modernization of Conceptual,Logical, and Physical Models Define the NJDOL architecture across Conceptual, Logical, and Physicallayers Develop and maintain Conceptual, Logical, and Physical data modelsutilizing best practices and ensuring optimal query performance Optimize and update Conceptual, Logical, and Physical data models tofoster a new and secure data environment Assist in establishing best practices for standard naming conventions Coordinate activities with the EDL team, including developers andtesters Assist in promoting database objects from lower to higher environments Lead design reviews of data models and relevant metadata to ensureconsistency Recommend opportunities for the reuse of data models across projects Consult with Database Administrators regarding the creation ofphysical data schemas, referential integrity, and the fulfillment of businessrequirements Collaborate with ETL developers, report developers, and end users oneffective database utilization Guide System Analysts, Engineers, Programmers, and others on project limitations, requirements, interfaces, and system integration challenges and solutions Mentor DOL team members on all facets of Data Modeling. REQUIRED SKILLS Data Architecture 15 Years AWS Cloud Architecture 10 Years AWSGlue/Athena/Storage/Lambda/Data Brew/RDS/Redshift, DMS 10 Years Operational Data ModelingSkills 15 Years Analytical Modeling Skills 15 Years Data Governance 10 Years Master Data Management 15 years Metadata Management 10 Years Data Cataloging 15 Years Data Engineering and ETL 15 Years Data Quality 15 Years Excellent written and verbal communication skills 15 years Strong attention to detail 15 years Ability to write in explanatory and procedural styles for multiple audience 15 years Skilled at prioritization and multi-tasking 5 years DESIRED SKILLS Mainframe Technologies including Cobol, Db2, IMS DB/DC, VSAM, JCL 5 years Knowledge of working in Federal, State and Local Government 5 years Skills: Data Architecture Required 15 Years AWS Cloud Architecture Required 10 Years AWS Glue/Athena/Storage/Lambda/Data Brew/RDS/ Redshift, DMS Required 10 Years Operational Data Modeling Skills Required 15 Years Analytical Modeling Skills Required 15 Years Data Governance Required 10 Years Master Data Management Required 15 Years Information Governance Required 10 Years Metadata Management Required 10 Years Data Cataloging Required 15 Years Data Engineering and ETL Required 15 Years Data Quality Required 15 Years Experience writing in explanatory and procedural styles for multiple audiences Required 15 Years Experience in prioritization and multi-tasking Required 5 Years Mainframe Technologies including COBOL, DB2, IMS DB/DC, VSAM, JCL Desired 5 Years Knowledge of working in Federal, State and Local Government Desired 5 Years Thanks & Regards, Megha US IT Recruiter | InfoLogitech, Inc. 3 Independence Way, Suite 117, Princeton, NJ - 08540. Direct 609-212-0605 Email: [email protected] | www.infologitech.com Infologitech Technology Company Keywords: sthree database information technology New Jersey Data Architect - Direct Client - Local to NJ - 15+ profiles [email protected] |
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| Thu Oct 24 21:43:00 UTC 2024 |