Diagnose and resolve day-to-day database, network, and firewall issues; collaborate with various teams in developing system hardware layouts, configuring firewall rules, tuning, and load testing of mission-critical Oracle systems.
Develop Conceptual, Logical and Physical data models for the Decennial Census program. Physical data models are only for critical types of data (e.g. respondent data) and will be developed in collaboration with the project team responsible for development of the system.
Assist in development of the Windows Development and Production Environment (WDPE), which is a project that is mandated to establish standards for development and production support for application systems on a Windows platform.
The Product Area Architect for Data Analytics is responsible for identify capability gaps and opportunities; identification and selection of candidate technologies to fill those gaps; and development/implementation of the associated technology development strategies and projects.
Design and develop logical and physical database designs from customer requirements; provide advice and support to development resources; provide guidance in the creation and modification of standards and procedures.
Assess and work towards a deliberate and sustainable technology and architecture solution; you will be very well versed in document-based and relational performance tuning, data-design, indexing, replication, and distributed I/O patterns and be responsible for leveraging those talents on a regular basis.
In this role, you will define the system, technical, and application architectures, and in some instances the business systems/process architecture for major areas of development, with a focus on application architecture
In this role, the selected candidate will define moderately complex business/clinical/education problems and understand current processes and issues related to those processes; provide written documentation of findings and share with other IT colleagues.
This includes analysis, data modeling, and integration of the information as it relates to the business requirements for in-house builds and evaluations of vendor product COTS solutions from a data perspective.