Senior Database Administrator - Production Support

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: Bachelor’s degree in computer science, computer programming, computer engineering, or relevant computer-based major & 5+ years of experience in server database maintenance and database analysis (or similar role).
• Preferred: Bachelor’s degree in computer science, computer programming, computer engineering, or relevant computer-based major & 7+ years of experience in server database maintenance and database analysis (or similar role).
• Please Note: 4+ years of additional experience may be considered in lieu of bachelor's degree.

Required Skills:

• Experience supporting production database systems, including shift-based coverage and on‑call responsibilities.
• Proficient experience with AWS database technologies such as Amazon Aurora PostgreSQL and other AWS-managed data services.
• Experience with Databricks and exposure to AWS cloud platform. 
• Experienced with completing database environment installation, configuration, on-going administration support.
• Demonstrated understanding of standard Data warehouse concepts.
• Adept with data modeling, data mapping, data flow diagrams and data marts.
• Previous experience architecting and implementing cloud-based database solutions on various platforms.
• Experience with Data migration from legacy on-premises database to multi-cloud/hybrid cloud platforms.
• Proven ability to spearhead and work independently, prioritize, and get things done.
• Strong analytical, technical, problem-solving skills.
• Excellent organization and time management skills and ability to identify priorities to accomplish a variety of tasks on schedule.
• Excellent communication skills and ability to work with people at every level. Comfortable writing down ideas, implementation plans and status reports.

PREFERRED CERTIFICATIONS:

One or more of the following certifications is preferred but not required:

• Databricks Certified Data Professional
• AWS Certified Database – Specialty
• AWS Certified Solutions Architect - Associate and/or Professional

SECURITY CLEARANCE LEVEL:

• Public Trust: This role will require you to pass a background check to obtain a position of Public Trust and will require you to provide onsite fingerprinting at a designated facility.  This investigation may review personal and criminal behavior, financial conduct, foreign influence, as well as other adjudications.
• Must be a US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen). 

LOCATION:

• Remote

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.

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