Databricks & AWS DB Administrator — On-Call & Analytics

General Dynamics Information Technology, Inc.; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

General Dynamics Information Technology, Inc. seeks a Database Analyst/Administrator to support the AOUSC environment. The role focuses on production database operations, incident response, and data analytics to guide mission-critical decisions.

Responsibilities include developing data models, ETL workflows, and CI/CD deployments while collaborating with stakeholders and ensuring data quality and security across systems.

Qualifications

• 7+ years of server database maintenance or similar role.
• Bachelor's degree in Computer Science or related major; experience may substitute degree.
• Experience supporting production DB systems including on‑call responsibilities.
• AWS DB techs (Aurora PostgreSQL) and cloud DB experience preferred.
• Familiarity with Databricks and data warehousing concepts.

Responsibilities

• Provide production support for mission-critical databases, including on-call coverage.
• Monitor performance, respond to incidents, troubleshoot issues, and coordinate with teams to restore service.
• Perform root-cause analyses and contribute to stability improvements.
• Develop and follow standards for performance, security, and maintainability.
• Collaborate with product owners and stakeholders to map business needs to technical requirements.
• Document complex workflows and data relationships for the team.

Skills

Database maintenance

On-call support

Data analysis

AWS

SQL

Data modeling

SQL Server

Education

Bachelor's degree in Computer Science / related field

Tools

AWS

Databricks

SQL Server Management Studio

CI/CD

Splunk

Atlassian Suite

Job description

General Dynamics Information Technology, Inc. seeks a Database Analyst/Administrator to support the AOUSC environment. The role focuses on production database operations, incident response, and data analytics to guide mission-critical decisions.

Responsibilities include developing data models, ETL workflows, and CI/CD deployments while collaborating with stakeholders and ensuring data quality and security across systems.