Database Administrator
Type of Requisition:
Pipeline
Clearance Level Must Currently Possess:
None
Clearance Level Must Be Able to Obtain:
None Public Trust/Other Required:
None
Job Family:
IT Infrastructure and Operations Job Qualifications:
Skills:
Amazon Web Services (AWS), Cloud Computing, Data Migrations Certifications:
None Experience:
7 + years of related experience US Citizenship Required:
No
Job Description:
Database Analyst /Administrator
GDIT has an opportunity for a dynamic and talented candidate to join our team supporting the Administrative Office of the US Courts (AOUSC).
The Database Analyst/ Administrator will execute the following responsibilities:
- Provides production support for mission‑critical database environments, including shift‑based coverage and on‑call support to ensure high availability and timely issue resolution.
- Monitors database performance, responds to incidents, troubleshoots production issues, and coordinates with development and operations teams to restore service quickly.
- Performs root‑cause analysis for production defects and contributes to long‑term stability improvements.
- Works within an Agile solution development environment with daily scrums, biweekly sprint planning and quarterly Program Increment planning.
- Develops operating standards and best practices, including performance, security, scalability, and maintainability.
- Ensures the proper definition, control, and coordination of data elements and standards, and the facilitation of efficient data relationships, systems integration, and physical structure.
- Participates in the development and implementation of database management policies and standards for efficient quality control and data administration.
- Collaborates with Product Owners and users to gather business requirements and define and maps them to technical requirements. Meets with agency leaders and stakeholders, collaborating with other consultants and program/agency personnel regarding the development of innovative data analysis techniques.
- Demonstrates ability to document complex workflow designs to present to project team and stakeholders.
- Demonstrates ability to work on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors and frequently contributes to the development of new business strategy, ideas, and methods adhering to best practices within the Agile framework.
- Collects, analyzes, and interprets large amounts of data to help guide business decisions. Experience with using advanced statistical analysis, data mining, and predictive modeling techniques.
- Synthesizes disparate information and recognizes patterns and relationships across data; synthesizes large sets of data from multiple sources, develops data visualizations for the purpose of tracking key performance indicators and other critical metrics tied to program outcomes.
- Hosts and conducts peer reviews of the code of other developers on the team. Performs data validation and ensures data accuracy and integrity.
- Develops stored procedures, jobs, views, tables, and other database objects in SQL Server Management Studio.
- Designs and develops dimensional data models including start and snowflake schemas, fact and dimension tables, and enterprise data marts to support analytics, reporting and business intelligence solutions.
- Develops and deploys ETL packages using CI/CD pipeline. Exposure to core configuration management systems for version control.
- Works with Atlassian Suite of software development management tools.
- Indexes system and application logs in to the Splunk system monitoring application, then creates dashboards, alerts, and reports from those logs.
REQUIRED QUALIFICATIONS
- At least seven (7+) years of Server database maintenance and database analysis or similar role.
- Bachelor's degree in Computer Science, Computer Programming, Computer Engineering or relevant computer-based major. Experience may be con
This role requires you to be in the United States. If that means relocating or flying in, it is worth checking fares before you commit to a start date.
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