Sr. Data Modeler at ideaVat LLC in Austin, TX

Company Description

Jobsbridge

Job Description

* Bachelor's degree in Computer Science, CIS, Engineering, or related field and 12+ years IT experience, including 6+ years of experience in IT architecture. Additional equivalent work experience may be substituted for the degree requirement.

* 4+ years of experience leading technical teams with or without direct reports.

* 2+ years experience working with data and integration technologies (e.g., ESB ETL, EAI).

* 2+ years experience working with data analysis tools and/or techniques.

* 3+ years experience defining data architecture in a corporate or enterprise environment.

Preferred Qualifications:

* Master's degree in Computer Science, CIS, Engineering, or related field.

* Six Sigma certification.

* 3+ years of work experience in an IT role requiring interaction with senior leadership.

* 3+ years of experience with commercial off-the-shelf package integration.

* 6+ years of experience architecting, designing, and implementing enterprise-scale, high volume, high-availability systems.

* 2+ years of cross-domain IT architecture experience.

* 5+ years of experience establishing and documenting standards, guidelines, and best practices.

* 3+ years of experience with modeling techniques (e.g., BPM, UML, ER).

* 3+ years of experience working with Enterprise Architecture frameworks, such as TOGAF or Zachman.

* 3+ years of experience working with third party IT vendors and/or IT system solution providers.

* 3+ years IT experience in the retail industry.

* 1+ years of experience working in a large matrixed organization.

* 2+ years experience working with information management repositories.

* 2+ years experience working with canonicals within integration architecture.

* 2+ years experience in the design of target state architecture in a corporate or enterprise environment.

* 4+ years experience in the design and integration of relational databases.

* 1+ years experience working with or serving as a member of a data governance board.

Qualifications

Analysis, Architecture, Data Analysis, Data Architecture, Development, Genetics, HTTP, Management