Job#5500 Architecture & Database Administration/Development




Title
 Longitudinal Data System

Location
St. Paul, MN

Project Start/End Date
The project resources selected will be expected to be available on or about January 4, 2016 for an engagement approximately one year.
The Business Need

 MN.IT @ Education is looking for a single vendor to supply an experienced team of an architect and developer to work in parallel with MN.IT @ Education staff to enhance and maintain an interagency data warehouse. The interagency warehouse contains anonymized unit record data for individuals from birth to workforce employment that will support education research. The data is drawn from multiple resources
– Minnesota Department of Education (MDE), the Minnesota Department of Health (MDH), Minnesota Department of Human Services (DHS), Minnesota Office of Higher Education (OHE), and Minnesota Department of Economic Development (DEED). All work will be directed by MN.IT @ Education project managers.

This RFO is to secure the services of approximately 2 resources with skills in the identified service categories to supplement the MN.IT @ Education team. It is anticipated that the engagement will consist of 1 resource from the Architect Category and 1 resource from the Database Administration/Development Category. Selected individuals will be responsible for design, construction, testing, documentation, and support of the warehouse effort. A team member will also help with leveraging our current investment in business intelligence tools by creating and updating any necessary data marts for the public and secured reports.

Deliverables
·         Coordinate and manage data set “logistics” (e.g. issues, access to data, coordination of subject matter experts, etc.).
·         Conduct data profiling, using MN P20W standards practices to iteratively work with the data provider to define, document, and clean the data.
·         Define the data linking rules to be exercised on the personally identifying information available in each data set. Use this definition to evaluate existing data linking rules and integrate the new data set in a way that maintains or improves the quality of data linking results.
·         Develop the program logic to link and load each data set into the operational data store (ODS).
·         Create the database architecture required to support the linking, loading, and storage of the new data in the ODS, consistent with the existing architecture.
·         Create and populate a data warehouse from the ODS.
·         Evaluate and possibly refine the data operations to accommodate the data frequency and business needs.

Job Requirements
All experience described in the matrix must also be on the resume.

The following skills are required for resource(s) being submitted. These are scored as pass/fail.

Required minimum qualifications must be met for each resource submitted under each category:


Architect
·         5 plus years’ experience with business intelligence project management
·         5 plus years’ experience with MS SQL Server Databases
·         5 plus years’ experience with data modeling and analysis tools
·         5 plus years’ experience with warehouse data modeling using the “Kimball” approach
·         5 plus years’ experience with implementing applications based on SQL in stored procedures; creation of views; etc.

Database Administration/Development
·         5 plus years’ experience with MS SQL Server Databases
·         5 plus years’ experience with MS SSIS, SSAS
·         5 plus years’ experience with warehouse data modeling using the “Kimball” approach
·         5 plus years’ experience with data modeling and analysis tools
·         5 plus years’ experience with ETL (extract, transform, and load) programming
·         5 plus years’ experience with:
§ MS SQL Server
§ XML
§ MDX
§ Subversion

Desired Skills - (applies to both the Architecture & Database Administration/Development Categories)
·         Subject matter expertise in K-12 education, health, human services, higher education, workforce and or labor data and research
·         Business requirements analysis for data warehousing
·         Experience with data linking rules development
·         Experience in coaching or team development situations

RFO Evaluation Process

·         Experience of candidates (50%)
·         Desired Skills (20%)
·         Cost (30%)

References
List three (3) references who can speak to the resource’s work on a similar project. Include the company name and address, reference name, reference email, reference phone number, and a brief description of the project this resource completed.