Data Architect

QinetiQ - Chantilly, VA

Full-time

Chantilly, VA

Machinery Manufacturing

About the position

The Data Architect at QinetiQ US will collaborate with various teams to design and implement data layer solutions that meet mission, technical, and security requirements. This role involves leading the development of data architecture projects, ensuring optimization of data solutions, and communicating technical assessments to stakeholders.

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.

Requirements

• Active TS/SCI clearance with polygraph required.
• 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.

Nice-to-haves

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

Benefits

• Workplace flexibility
• Commitment to health and well-being
• Opportunities to work with a purpose