Enterprise Data Architect

Role : Sr. Enterprise Data Architectjob id - 749904Location : Remote 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. 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 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 EXPERIENCE15+ years of experience in Business/working as a Data Architect, Data Modeler, Data AnalystUnderstand the AWS Cloud Architecture and the basics of its infrastructureHands on Experience and Expertise in using AWS tools: AWS glue, data brew, AWS Lambda,AWS S3, AWS Dynamo DB, AWS RDS, Athena, Redshift, DMSHands on Experience and Expertise in creating and automating Data pipelines using AWS services.Expertise in Data Management PrinciplesExpertise in Master Data Management PrinciplesExpertise in Data Governance ConceptsExpertise in Data Engineering MethodologiesExpertise 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 CollibraExperienced in working with different Software Development Methodologies. DUTIES and RESPONSIBILITIESConduct an Assessment of the Current State of Data SystemsEstablish the System of Record and Data Dictionary for Data SystemsDevelop Enterprise ArchitectureCreate and construct Conceptual, Logical, and Physical ModelsFacilitate Business Sessions to validate business taxonomy and usecasesProvide an initial design solution for the core data model andadditional forthcoming data structuresSupport project requirements in the modernization of Conceptual,Logical, and Physical ModelsDefine the NJDOL architecture across Conceptual, Logical, and PhysicallayersDevelop and maintain Conceptual, Logical, and Physical data modelsutilizing best practices and ensuring optimal query performanceOptimize and update Conceptual, Logical, and Physical data models tofoster a new and secure data environmentAssist in establishing best practices for standard naming conventionsCoordinate activities with the EDL team, including developers andtestersAssist in promoting database objects from lower to higher environmentsLead design reviews of data models and relevant metadata to ensureconsistencyRecommend opportunities for the reuse of data models across projectsConsult with Database Administrators regarding the creation ofphysical data schemas, referential integrity, and the fulfillment of businessrequirementsCollaborate with ETL developers, report developers, and end users oneffective database utilizationGuide System Analysts, Engineers, Programmers, and others on project limitations, requirements, interfaces, and system integration challenges and solutionsMentor DOL team members on all facets of Data Modeling. REQUIRED SKILLSData Architecture 15 YearsAWS Cloud Architecture 10 YearsAWSGlue/Athena/Storage/Lambda/Data Brew/RDS/Redshift, DMS 10 YearsOperational Data ModelingSkills 15 YearsAnalytical Modeling Skills 15 YearsData Governance 10 YearsMaster Data Management 15 yearsMetadata Management 10 YearsData Cataloging 15 YearsData Engineering and ETL 15 YearsData Quality 15 YearsExcellent written and verbal communication skills 15 yearsStrong  attention to detail 15 yearsAbility to write in explanatory and procedural styles for multiple audience 15 yearsSkilled at prioritization and multi-tasking 5 years DESIRED SKILLSMainframe Technologies including Cobol, Db2, IMS DB/DC, VSAM, JCL 5 yearsKnowledge of working in Federal, State and Local Government 5 years