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:
Data Discovery and Exploration techniques and processes
Data Mining techniques for Insights using a wide set of source data
Determining the nature and usability of certain data
Techniques to apply data analysis for Business Requirements creation
Sand-Box environments and best practices
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. The experience should contain at least 10 years of architecture support combined of these environments: warehouse, datamart, business intelligence, and big data.