• 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.

Additional Information

Akash Singh

Phone: +1 (904 240-4265)

Akash(dot)singh(at)nlbservices(dot)com