Job Description :
Data Architect

Location : Minneapolis, MN

Interview : Phone and F2F

Duration : 6+ Months

Visa : USC or GC or GC EAD


This is a great opportunity to join a highly reputable firm with an excellent IT culture. In this role you will support the design/development of a strategy to expand internally developed systems to be used across various business units. This role requires someone with broad Architect experience including both strategic and tactical skills (Architect, ETL Developer, EAI in one role

In this role you will:

Define, analyze, and review architecture and technical requirements.
Enterprise Application integration (EAI This includes defining the opportunities for integration, selecting the tools, specifying the shared data & code resources, defining the interfaces and data-flows, and monitoringthe success of said integration.
Define the application tiers, frameworks, components types and interfaces. Also, creates the first-draft graphical template of UML design models used by the Project Architects.
Balance short-term versus long-term actions, strategic versus tactical requirements, while continuing to move forward towards the strategic vision; participate in the road map to achieve the vision.
Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and data movement across the enterprise.
Provide architectural solutions covering data structures, sourcing, integration, security, and retention.
Involve in data roadmap, current / target state for enterprise data.

Position Requirements:

BS in Computer Science or related field MS a plus
12 years minimum experience in software development and database applications including data strategy, souring, modelling, integration, and architecture
Advanced knowledge of SQL, database performance, RDBMS, and Query tools.
Experience in ETL, reporting and analytics, and BI tools is preferred
Experience in data analysis, data profiling, data integration, and data quality.
Experience in tuning Data Warehouses.
Extensive experience in creating data warehouses, data marts, and modelling (3NF and dimensional
Data modeling experience creating both dimensional and relational models; ERWIN experience is preferred.