Enterprise Data Architect

Job Description

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

Must have Excellent written and verbal communication skills, meticulous attention to detail, as well as the ability to understand abstract concepts.

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 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 and additional forthcoming data structures
• Support project requirements in the modernization of Conceptual, Logical, and Physical Models
• Define the 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

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