Automating Google Workspace (GWS) & more with Apps Script
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.