- Identifies and synthesizes the components and subcomponents
required for a solution’s success.
- Incorporates cloud technology architecture in data system architecture.
- Architects data lakes to expand the type and amount of data captured
and ensure a repository of historical data is maintained and accessible
through proper data governance practices.
- Coordinates and leads various architectural planning committees or
centers of excellence, such as cloud center of excellence, data
architecture task force, or cyber security review board.
- Serves as a District expert and advisor regarding the architecture of
their area of focus and related emerging technologies such as cloud
computing, Artificial Intelligence, automation, and machine learning.
- Architects cloud infrastructure solutions for storage, computing, and
application hosting.
- Defines and enforces standards, practices, and guidelines for solution
development and integration such as proper data governance practices,
application standards shared between systems, and security compliance
practices to ensure District IT enterprise-wide compatibility.
- Assesses existing architectures to recommend improvements and
bridge gaps within an architecture and between systems.
- Identifies and mitigates risks and potential impacts associated with new
architectural solutions and improvements to existing architectures.
- May lead or supervise a team of technical personnel.
To see the complete class descriptions, visit us at www.lausdjobs.org
Minimum Requirements EDUCATION: Graduation from a recognized college or university with a
bachelor’s degree, preferably in electrical engineering, mathematics,
computer science, data science, cybersecurity, or a related field.
Qualifying experience in addition to that listed below may be substituted
for the required education on a year-for-year basis provided that
graduation from high school or evidence of equivalent educational
proficiency is met. An advanced degree in systems management,
engineering, or computer science is preferable.
EXPERIENCE:
Data Emphasis:
Three years of experience in an enterprise-wide environment in data and
analytics platform architecture, data integration, data modeling, and data
technology platform and management.
Or
Cloud Infrastructure Emphasis:
Three years of experience in an enterprise-wide environment designing,
implementing, and supporting cloud infrastructure solutions. The
aforementioned experience must have included cloud platform
architecture, management, maintenance, and governance.