Data Architect - Resource Logistics, Inc.
Chicago, IL
About the Job
Qualifications (must haves):
" A foundation in systems development
" Data modeling using Kimball Methodology
" Data design
" Data Clienthitectures
" Data Pipelines
" Experience in performance tuning complex queries
" Real Time Data Processing, streaming, networking, and security
" Established and emerging data technologies such as NoSQL, distributed databases
" Communication and political savvy
" Problem solving / analytical thinking and skills
" Teamwork and collaboration
Nice to Have:
" Experience with Devops and CI/CD technologies is a plus (such as Git, Jenkins, Docker)
" Experience with streaming data processing technologies is a plus (such as Spark or Kafka)
" Experience in financial industry or banking is a plus
Tasks & Responsibilities:
" Work with business owners and IT stakeholders to understand business and functional requirements to design data warehouses and data marts
" Develop conceptual and physical data models as well as flow diagrams illustrate current and future state data Clienthitecture
" Establish good data modelling principles and effective data quality standards
" Act as subject matter expert on all aspects of the data Clienthitecture, including models, data staging and ETL frameworks
" Guide and mentor development teams on ETL, SQL queries and data design best practices
" Evangelize modern ideas and technologies for data design and data Clienthitectures across the organization
" A foundation in systems development
" Data modeling using Kimball Methodology
" Data design
" Data Clienthitectures
" Data Pipelines
" Experience in performance tuning complex queries
" Real Time Data Processing, streaming, networking, and security
" Established and emerging data technologies such as NoSQL, distributed databases
" Communication and political savvy
" Problem solving / analytical thinking and skills
" Teamwork and collaboration
Nice to Have:
" Experience with Devops and CI/CD technologies is a plus (such as Git, Jenkins, Docker)
" Experience with streaming data processing technologies is a plus (such as Spark or Kafka)
" Experience in financial industry or banking is a plus
Tasks & Responsibilities:
" Work with business owners and IT stakeholders to understand business and functional requirements to design data warehouses and data marts
" Develop conceptual and physical data models as well as flow diagrams illustrate current and future state data Clienthitecture
" Establish good data modelling principles and effective data quality standards
" Act as subject matter expert on all aspects of the data Clienthitecture, including models, data staging and ETL frameworks
" Guide and mentor development teams on ETL, SQL queries and data design best practices
" Evangelize modern ideas and technologies for data design and data Clienthitectures across the organization
Source : Resource Logistics, Inc.