Job details

Database Manager

Company Overview:

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ US’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

Why Join QinetiQ US?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

Position Overview:

QinetiQ US seeks a highly skilled Database Manager responsible for designing, developing, and maintaining database infrastructure and ensuring the integrity, security, and availability of data assets. Your expertise in database management, data modeling, and ETL processes will be essential in driving efficient and effective data management practices.

Responsibilities:

Database Design and Development:

Design, develop, and maintain the organization's database systems, ensuring optimal performance, scalability, and reliability.
Collaborate with stakeholders to understand data requirements and translate them into efficient and effective database designs.
Implement data modeling techniques to structure and organize data for optimal querying and reporting.

Data Integration and ETL Processes:

Develop and implement Extract, Transform, Load (ETL) processes to integrate data from various sources into the database system.
Design and implement data pipelines to ensure seamless data flow and synchronization between different systems and databases.
Monitor and optimize ETL processes for performance, data quality, and error handling.

Data Security and Integrity:

Implement and enforce data security measures to protect sensitive information, ensuring compliance with regulatory requirements and industry best practices.
Establish and maintain data governance frameworks, including data access controls, data classification, and data retention policies.
Monitor database systems for anomalies, data inconsistencies, and potential security breaches, taking proactive measures to resolve issues.

Performance Optimization and Tuning:

Monitor and analyze database performance metrics, identifying bottlenecks and areas for improvement.
Optimize database configurations, queries, and indexes to enhance system performance and response times.
Collaborate with development teams to identify and resolve performance-related issues.

Database Administration and Maintenance:

Perform routine database administration tasks, including backups, recovery, database tuning, and troubleshooting.
Conduct regular data maintenance activities, such as data archiving, purging, and data cleanup.
Monitor and ensure the availability and reliability of database systems, implementing disaster recovery and backup strategies.

Documentation and Collaboration:

Document database designs, configurations, and processes, ensuring comprehensive and up-to-date documentation.
Collaborate with cross-functional teams, including data analysts, developers, and business stakeholders, to understand data requirements and support data-driven initiatives.
Provide technical guidance and support to team members, sharing knowledge and best practices related to database management and data engineering.

Required Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field. A master's degree is preferred.
Proven experience (5+ years) as a Database Management Expert, Data Engineer, or similar role.
Strong expertise in database management systems (e.g., Oracle, MySQL, SQL Server), including database design, optimization, and administration.
Proficiency in SQL and experience with data modeling techniques and tools.
Hands-on experience with ETL processes, data integration, and data warehousing concepts.
Familiarity with cloud-based database services, such as AWS RDS, Azure SQL Database, or Google Cloud SQL.
Knowledge of data security principles and best practices.
Strong analytical and problem-solving skills, with an ability to troubleshoot and resolve database-related issues.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Experience with scripting languages (e.g., Python, PowerShell) and data visualization tools (e.g., Tableau, Power BI) is a plus.
Ability to maintain discretion and confidentiality of sensitive information.
Ability to maintain a security clearance from the U.S. government.

Preferred Qualifications:

Experience setting and managing client relationships and expectations.
Experience effectively communicating with diverse team, client, and organizational stakeholders.
Ability to set priorities, plan, and organize tasks and deliverables as needs evolve.
Previous experience working for a federal government client.

Company EEO Statement:

Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.

QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

QinetiQ US Glassdoor Company Review

3.6