Data Architect - QinetiQ US

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:

We are recruiting for a Data Architect who will work with the Client, Data Layer engineering teams, fellow architects, and teams across the department to architect and design data layer solutions that successfully balance mission, technical, and security requirements.

Responsibilities:

• Collaborating with technical teams, fellow architects, analytic stakeholders, and Sponsor management to architect, design, and lead the development and deployment of data layer solutions.
• Ensuring the data layer solution is continuously optimized and able to fully satisfy analytic mission requirements as rapidly and efficiently as possible.
• Developing and documenting architectural guidance, interface designs, etc. for data layer engineering teams.
• Assessing the feasibility of software systems designs/plans, and assuring alignment with established mission requirements and security mandates.
• Analyzing, defining, and documenting requirements for data flows, processes, hardware and software environments, network connectivity, system interfaces, and security controls.
• Communicating technical assessments, proposals, and alternatives to both technical and non-technical audiences, including senior management.
• Overseeing the design and development of custom solutions, or the evaluation, selection, and implementation of COTS solutions.
• Monitoring current and emerging technologies and industry trends to present technical recommendations to senior management and technical teams.
• Designing, programming/developing, and modifying software systems and tools, both existing and potentially new in the future (i.e. hands-on development work).

Required Qualifications:

• Active TS/SCI clearance with polygraph required #qinetiqclearedjob
• Significant experience leading increasingly complex data architecture projects.
• Significant experience with all of the following technologies: Oracle, Hadoop, Elasticsearch, SQL, Java, Linux.
• Significant hands-on data parsing and development experience with the required technologies.
• Strong experience with the full data lifecycle, from ingest through display, in Big Data environments.
• Demonstrated ability to effectively diagnose, isolate, and resolve complex issues pertaining to data, security, engineering, and architecture in enterprise-size mission environments.
• Familiarity with standards and data issues in enterprise-size environments.
• Exceptional ability to manage competing priorities and communication to multiple stakeholders.

Preferred Qualifications:

• Familiarity with multiple data management, content management, and knowledge management solutions.
• Experience with AWS in the Sponsor’s environment.

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.