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The Senior Database Administrator provides production support for mission-critical database environments, including shift-based coverage and on-call responsibilities. They also collaborate with architecture and governance teams to design scalable data models and ensure high availability within a cloud-based environment.
Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program, an initiative to support the Administrative Office of the US Courts (AOUSC) in developing a modern, cloud-based solution to support all 204+ federal courts across the United States.
GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Senior Database Administrator will leverage their expertise to help the CMM Data Modernization and Governance Team deliver integrated data governance, engineering, data platform, reporting, analytics, and AI/ML capabilities that support operational decision-making and fulfill the AOUSC’s data and analytics objectives in support of the CMM Program.
The Senior Database Administrator will be responsible for providing production support for mission-critical database environments that power the CMM Program. This role includes shift-based coverage and on-call support to ensure high availability and timely issue resolution in support of CMM objectives for modernization, analytics, and operational excellence. The Senior Database Administrator partners closely with the Data Architecture, Data Governance, and Migration teams to ensure work is consistent, auditable, and aligned with CMM's cloud-based standards.
If you're interested in administering mission-critical data solutions while growing your career with a company that always puts our people at the forefront of everything we do, then we'd love to hear from you!
MEANINGFUL WORK AND PERSONAL IMPACT
As a Senior Database Administrator, the work you’ll do at GDIT will be impactful to the mission of the AOUSC. You will play a crucial role in:
● 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 strategies, 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 scalable data models for Databricks lakehouse environments, including bronze, silver, and gold layer structures, dimensional models, fact and dimension tables, and curated data products to support analytics, reporting, business intelligence, and machine learning workloads.
● 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.
WHAT YOU’LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The Senior Database Administrator must have:
Education & Experience:
Required Skills:
PREFERRED CERTIFICATIONS:
One or more of the following certifications is preferred but not required:
SECURITY CLEARANCE LEVEL:
LOCATION:
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
● Growth: AI-powered career tool that identifies career steps and learning opportunities
● Support: An internal mobility team focused on helping you achieve your career goals
● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
● Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
#GDITLA
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