Executive Job Description | Senior Data Integration Architect with Business Analytics
Live anywhere, USA - travel 3-4 days per week
The Sr. Data Integration Architect is directly responsible for successful delivery of BAO technology initiatives. The Data Integration Architect understands business challenges & translates them into process/technical solutions, as well as manages client relationships within context of individual role. All candidates will have expert-level knowledge of at least one of the 3 ETL tools: AbInitio, Informatica or DataStage
This role focuses on the elements required to manage all aspects of data and information (both structured and unstructured) from business requirements to logical and physical design. This role spans the full information management lifecycle from acquisition, through cleanse, transform, classify and storage to presentation, distribution, security, privacy and archiving. The key interests of the Information Architect include databases (relational, hierarchical and object-oriented), file systems and storage management, as well as document imaging, knowledge and content management, taxonomies and business intelligence. Information Architects must be capable of designing centralized or distributed systems that both address the user's requirements and perform efficiently and effectively.
Required
Bachelor's Degree
3+ years experience in ETL Application Architecture/Design
3+ years experience in Ab Initio, Informatica or Escential Datastage ETL Tools
3+ years Architect/Design Experience in Large Complex Multi-terabyte data environments
Readiness to travel up to 50%; travelling 3-4 days a week, home on weekends
English: Fluent
Preferred
Master's Degree
5+ years experience in ETL Application Architecture / Design Experience
5+ years experience in Ab Initio, Informatica or Escential Datastage ETL Tools Experience
5+ years experience in Architect / Design Experience in Large Complex Multi-terabyte data environments
5+ years experience in expert knowledge of BI Industry processes
3+ years experience in technical requirements definition, mapping and data modeling experience
3+ years experience in hands-on technology and leadership experience in Data Warehouse projects
2+ years experience in Financial Services / Banking / Insurance industry experience
2+ years experience in consulting experience
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