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FORM C – WORKER REQUIREMENTS GRID SHEET
Solicitation Number: 52992000058228R              Working Title: Data Warehouse Architect
ITSAC Level Description: Data Warehouse           ITSAC Technology Type: Emerging
Architect 3
                              (This is Page 1 of the Worker Resume)
Worker Name (Required):
Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements
(skills/experience) will not be considered for this opportunity and the resume will not be submitted to
the customer.
   Years             Years                                                                  Comments
                                  Skills/Experience
 (Required)                                                                                    (as
                                                                                            applicable)
    10+
                    8+              Experience on enterprise level data
                                    warehouse/business intelligence projects.
      7+
                    5+              Data Warehousing data population and data
                                    modeling techniques for target structures such as
                                    Star Schemas, Snowflake Schemas, and highly
                                    normalized data models
      5+
                    4+              Technical management / leadership experience
                                    including management and coordination of
                                    technical staff or vendors.
      3+
                    3+              GUI based ETL tools such as Informatica, IBM
                                    WebSphere DataStage, or similar tools.
      7+
                    3+              Implementation experience with enterprise class
                                    databases e.g. Teradata, Oracle, SQL Server, etc
                                    or similar technologies.
    10+
                    3+              Implementation experience with analytical and
                                    reporting tools e.g. Business Objects, Cognos,
                                    Hyperion, MicroStrategy or similar tools.
      4+
                      2+            Experience with preparing technical content for
                                    request for offers, request for information,
                                    requests for proposal, etc. for data warehouse
                                    projects.
    Very
                    Strong          Knowledge of data warehouse implementation
   strong
                                    process, from business requirements through
                                    logical modeling, physical database design, data
                                    sourcing and data transformation, data loading,
                                    SQL, end-user tools, database and SQL
                                    performance tuning.
   strong
                         S          Ability to develop complex logical data models,
                  trong             data architecture standards, & support compliance
                                    to policies and procedures including data
                                    structures & data elements naming standards.
    Very             Strong
                                    A proven ability to implement appropriate
   strong
                                    enterprise data warehouse development
                                    methodologies that ensure effective management
                                    of technical risk, smooth integration of COTS
products, identification and control of interfaces
                           and development dependencies, and system
                           quality through configuration management quality
                           assurance and testing.
  Strong       Strong
                           End-to-end experience on 2 or more enterprise
                           data warehouse projects, preferably with at least
                           one that included a substantial operational data
                           store.
  Strong       Strong
                           Proven ability to work successfully with technical
                           and non-technical groups, and manage multiple
                           responsibilities.
  Strong       Strong
                           Excellent analytical, problem-solving, team
                           playing and communication skills.
  Strong       Strong
                           Strong technical writing skills.
  Strong        Yes
                           Strong experience with establishing technical
                           requirements for all aspects within a statement of
                           work for solicitation of the implementation phases
                           of an enterprise level data warehouse.


Preferences:
   Years       Years                                                             Comments
                          Skill/Experience
 (Optional)                                                                          (as
                                                                                 applicable)
   5+
               1+          Experience with management and coordination
                           with external entities such as trading partners,
                           vendors, customers, etc. on a data warehousing
                           implementation effort.
  Strong       Strong
                           Demonstrated knowledge of data integration
                           techniques such as EAI (Enterprise Application
                           Integration), EII (Enterprise Information
                           Integration) and ETL to create an integrated
                           enterprise data warehouse.
  Strong       Strong
                           Proven track record as technical lead on
                           outsourced data warehousing projects
  strong                                                                            PMP
               Strong
                            Excellent project management and team
                                                                                  certified
                            leadership skills.
   Yes              Yes   Bachelor’s degree in Computer Science, Electrical
                          Engineering, Systems Engineering, or other relevant
                          discipline.
  Strong        Strong    Solid and current working knowledge of the leading
                          commercial off-the-shelf (COTS) products in the data
                          warehouse and business intelligence segments of the
                          IT product market.

   NOTE: ONLY INCLUDE THE INFORMATION REQUESTED ON THIS FORM. DO NOT
   INCLUDE ADDITIONAL INFORMATION. DO NOT MODIFY THE INFORMATION IN THE
   SHADED AREAS.
Da Warehouse Architect Austin Tx Skill Set

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Da Warehouse Architect Austin Tx Skill Set

  • 1. FORM C – WORKER REQUIREMENTS GRID SHEET Solicitation Number: 52992000058228R Working Title: Data Warehouse Architect ITSAC Level Description: Data Warehouse ITSAC Technology Type: Emerging Architect 3 (This is Page 1 of the Worker Resume) Worker Name (Required): Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will not be considered for this opportunity and the resume will not be submitted to the customer. Years Years Comments Skills/Experience (Required) (as applicable) 10+ 8+ Experience on enterprise level data warehouse/business intelligence projects. 7+ 5+ Data Warehousing data population and data modeling techniques for target structures such as Star Schemas, Snowflake Schemas, and highly normalized data models 5+ 4+ Technical management / leadership experience including management and coordination of technical staff or vendors. 3+ 3+ GUI based ETL tools such as Informatica, IBM WebSphere DataStage, or similar tools. 7+ 3+ Implementation experience with enterprise class databases e.g. Teradata, Oracle, SQL Server, etc or similar technologies. 10+ 3+ Implementation experience with analytical and reporting tools e.g. Business Objects, Cognos, Hyperion, MicroStrategy or similar tools. 4+ 2+ Experience with preparing technical content for request for offers, request for information, requests for proposal, etc. for data warehouse projects. Very Strong Knowledge of data warehouse implementation strong process, from business requirements through logical modeling, physical database design, data sourcing and data transformation, data loading, SQL, end-user tools, database and SQL performance tuning. strong S Ability to develop complex logical data models, trong data architecture standards, & support compliance to policies and procedures including data structures & data elements naming standards. Very Strong A proven ability to implement appropriate strong enterprise data warehouse development methodologies that ensure effective management of technical risk, smooth integration of COTS
  • 2. products, identification and control of interfaces and development dependencies, and system quality through configuration management quality assurance and testing. Strong Strong End-to-end experience on 2 or more enterprise data warehouse projects, preferably with at least one that included a substantial operational data store. Strong Strong Proven ability to work successfully with technical and non-technical groups, and manage multiple responsibilities. Strong Strong Excellent analytical, problem-solving, team playing and communication skills. Strong Strong Strong technical writing skills. Strong Yes Strong experience with establishing technical requirements for all aspects within a statement of work for solicitation of the implementation phases of an enterprise level data warehouse. Preferences: Years Years Comments Skill/Experience (Optional) (as applicable) 5+ 1+ Experience with management and coordination with external entities such as trading partners, vendors, customers, etc. on a data warehousing implementation effort. Strong Strong Demonstrated knowledge of data integration techniques such as EAI (Enterprise Application Integration), EII (Enterprise Information Integration) and ETL to create an integrated enterprise data warehouse. Strong Strong Proven track record as technical lead on outsourced data warehousing projects strong PMP Strong Excellent project management and team certified leadership skills. Yes Yes Bachelor’s degree in Computer Science, Electrical Engineering, Systems Engineering, or other relevant discipline. Strong Strong Solid and current working knowledge of the leading commercial off-the-shelf (COTS) products in the data warehouse and business intelligence segments of the IT product market. NOTE: ONLY INCLUDE THE INFORMATION REQUESTED ON THIS FORM. DO NOT INCLUDE ADDITIONAL INFORMATION. DO NOT MODIFY THE INFORMATION IN THE SHADED AREAS.