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Probity Inc.

Data Architect 04-DM0422-1

Probity Inc., Chantilly, Virginia, United States, 22021


PLEASE NOTE:

This position requires an

ACTIVE

Top Secret/SCI Clearance with Polygraph. To be considered for this position, you

MUST

have an

ACTIVE

Clearance Level of

Top Secret/SCI with Polygraph Summary The successful candidate will work with the Sponsor, 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. Duties, Tasks & 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 Experience, Skills, & Technologies

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 Desired Experience, Skills & Technologies

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

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