About the position
The Enterprise Data Architect is responsible for designing the data management framework for NJDOL, focusing on building data architecture frameworks, standards, and data modeling activities. This role requires collaboration with IT management and other teams to develop a data strategy that meets departmental needs and industry requirements, while ensuring data accuracy, integrity, and accessibility.
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 use cases
- Provide an initial design solution for the core data model and additional forthcoming data structures
- Support project requirements in the modernization of Conceptual, Logical, and Physical Models
- Define the NJDOL architecture across Conceptual, Logical, and Physical layers
- Develop and maintain Conceptual, Logical, and Physical data models utilizing best practices and ensuring optimal query performance
- Optimize and update Conceptual, Logical, and Physical data models to foster a new and secure data environment
- Assist in establishing best practices for standard naming conventions
- Coordinate activities with the EDL team, including developers and testers
- Assist in promoting database objects from lower to higher environments
- Lead design reviews of data models and relevant metadata to ensure consistency
- Recommend opportunities for the reuse of data models across projects
- Consult with Database Administrators regarding the creation of physical data schemas, referential integrity, and the fulfillment of business requirements
- Collaborate with ETL developers, report developers, and end users on effective 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.
Requirements
- 15+ years of experience in Business/working as a Data Architect, Data Modeler, Data Analyst
- 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
- 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
- Proficient in NoSQL, Relational MDM Data Modeling
- Experience in Data Governance with Collibra
- Experienced in working with different Software Development Methodologies
- Excellent written and verbal communication skills
- Strong attention to detail
- Ability to write in explanatory and procedural styles for multiple audiences
- Skilled at prioritization and multi-tasking
Nice-to-haves
- Mainframe Technologies including Cobol, Db2, IMS DB/DC, VSAM, JCL
- Knowledge of working in Federal, State and Local Government
Benefits
- Hybrid work environment
- Flexible working hours
- Opportunity for contract extension
