Insights Architect
from šŗšø United States
Next Level Business Services, Inc.
Position :Insights Architect
Location : Hartford, CT
Informatics Capabilities (Practical Knowledge of) Required:
⢠Audit and Reconciliation processes
⢠Data Lineage concepts (code traceability)
⢠Data Quality best practices and techniques
⢠Data Warehouse and DataMart environments
⢠Complex history generation and storage
⢠Application architectural componentization and rationalization techniques and process
⢠Architecture principles and best practices
⢠UML component modeling and design processes and best practices
⢠The delineation between architecture and high level design
⢠NoSQL environments including tools
⢠Meta data and the use of it by applications
⢠Semantic data, technology, and solutions
⢠Very large database environments
⢠Big data environments and architecture including tools
⢠Leadership of large and varied technical teams
⢠Information Delivery and Business Intelligence application design
⢠Data Analytics and Measures Data Enrichment Processing
⢠Data Mining techniques for Insights using verified business facts
⢠Business user classifications (ie. Adhoc, Novice, and Power Users)
⢠Healthcare and Insurance Services industry knowledge
⢠Complex source-to-target mapping rules and techniques
⢠Data modeling of relational and dimensional databases
⢠Multi-dimensional environments and modeling
⢠Application modeling tool expertise (IDA, RSA respectively)
Data Science Capabilities (Practical Knowledge) Required:
ā¢Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Data Discovery and Exploration techniques and processes
ā¢Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Data Mining techniques for Insights using a wide set of source data
ā¢Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Determining the nature and usability of certain data
ā¢Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Techniques to apply data analysis for Business Requirements creation
ā¢Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Sand-Box environments and best practices
ā¢Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Structured, Unstructured, Semi-Structured Data techniques and processes
Experience Required
Candidate should have a minimum of 15 years of demonstrable architecture experience in a large organization.Ā The experience should contain at least 10 years of architecture support combined of these environments: warehouse, datamart, business intelligence, and big data.
Akash Singh
Phone: +1 (904 240-4265)
Akash(dot)singh(at)nlbservices(dot)com