LU-Enterprise Architect 8-11 - Focused HR Solutions
Madison, WI
About the Job
This position is 97% remote. 3% on-site in Madison, WI, as needed, with advance notice. Candidate must work CST business hours.
Our direct client has an opening for an Enterprise Architect w/ Strong ErWin Admin Exp position # 121991. This position is for 12+ months, with option of extension, and will be worked 97% remotely and 3% on-site in Madison, WI, as needed (Candidate must work CST business hours).
If you are interested, please submit the following:
- Your current resume
- Your hourly rate
Below is the job description – Resumes due ASAP –
Job Description:
Top Skills:
- Expert knowledge in enterprise-wide information architecture planning
- Expert-level knowledge of data modeling concepts
- Expert-level knowledge of information security classification and categorization
- Expert-level knowledge of Erwin Data Modeling software
The position will support data management efforts across the Bureau to standardize data modeling practices to better align data architecture with technology, application architecture and security needs. The position will work closely with the database management and application development teams to enhance data interoperability and data integration efforts. This position will play a lead role in establishing DCF’s data interoperability strategy as well as data classification and security framework.
Ideal candidate will have the ability to be self-directed and able to work independently. The ideal candidate will have excellent written and oral communication and will have experience creating and documenting technical processes and standards.
Position requires a Bachelor's or Master's Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience. Typically has 10 or more years of experience with large and complex database management systems, business intelligence tools and applications.
Ideal candidate will have additional skills and experience in the following areas:
- Implementing data management standards to ensure consistency in the metadata categories within the data models.
- Produce and enforce database development standards and ensure consistency across all of the data models within DCF business intelligence.
- Design, maintain and develop database architecture as well as conceptual, logical and physical data models. Ensure that all relevant aspects of data model (granularity, etc.) are taken into account. Analyze the logical and physical database models and guarantee models are in accordance with standards.
- Data conversion and integration expertise to increase interoperability within the data platform
- Be responsible for leading and facilitating communication with business customers, IT staff, and other stakeholders, incorporating business requirements into data model design.
- Translate technical aspects of data modeling into language that non-technical users can understand. Work with both technologists as well as non-technical users with ease and approachability
- Make recommendations on data maintenance tactics for slowly changing dimensions, data roll-off / archival planning, etc.
- Coach, mentor and lead other data modelers.
List any special qualifications & years of experience:
Qualification | Experience
Qualification | Experience
- Conceptual, Logical and Physical Data Modeling | 10+ years
- Create database objects | 7+ years
- Information Security concepts | 5+ years
- Data integration/API integration | 5+ years
- Data Warehouse - Experience in data warehouse design and development | 7 years
- Database design | 7+ years
- Erwin Data Modeling Software | 7 years
- Expertise in implementation of large complicated models and processes | 5+ Yrs.
- Excellent organization, analytical and communication skills | 5 of 5
- DB2 | 3 Yrs.
- Experience in extract, transform, and load coding using Informatica | 7 Yrs.
- Ability to navigate and query a relational database (Oracle) | 7+ Yrs.
- Excellent organization, analytical, and communication skills | 7 years
- Informatica | 1 years
- Knowledge of Kimball data warehouse design principals | 7 years
- Creating, reviewing and tuning SQL scripting | 5 years
- Data analysis | 5 years
- Oracle data dictionary views | 3 years
- Metadata tools | 3 years
Best Regards
Source : Focused HR Solutions
