Insights Architect

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. Akash Singh Phone: + 1 (904 240-4265 ) Akash(dot)singh(at)nlbservices(dot)com