| Enterprise Data Architect - Face to Face Interview - New Jersey at Trenton, New Jersey, USA |
| Email: [email protected] |
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From: Shivam Pachauri, Tek inspirations LLC [email protected] Reply to: [email protected] Job Description - Job Title: Enterprise Data Architect Location: Trenton, NJ 08625 Duration: 12 months (extendable 1 -2 years) RTO: Remote (Only for meeting purpose, Need a local contractor who is available to come into the office for meetings) Interview: Both Phone and In Person Job Description: Need a Sr Enterprise Architect focusing on 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 Skills 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 and Expertise 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 Data Management (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 Software Development Methodologies. REQUIRED SKILLS Skill Required /Desired Amount of Experience 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 multitasking 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 Keywords: sthree database information technology New Jersey Enterprise Data Architect - Face to Face Interview - New Jersey [email protected] |
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| 12:32 AM 26-Oct-24 |