ManTech - Chantilly, VA

posted 3 months ago

Full-time
Chantilly, VA
Professional, Scientific, and Technical Services

About the position

Join the top Information Technology and Analytic professionals in the industry to make invaluable contributions to our national security on a daily basis. In this innovative, self-contained, Big Data environment, the ManTech team is responsible for everything from infrastructure, to application development, to data science, to advanced analytics and beyond. The team is diverse, the questions are thought-provoking, and the opportunities for growth and advancement are numerous. 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. Responsibilities include collaborating with technical teams, fellow architects, analytic stakeholders, and Sponsor management to architect, design, and lead the development and deployment of data layer solutions. You will ensure the data layer solution is continuously optimized and able to fully satisfy analytic mission requirements as rapidly and efficiently as possible. Additionally, you will develop and document architectural guidance, interface designs, etc. for data layer engineering teams, assess the feasibility of software systems designs/plans, and assure alignment with established mission requirements and security mandates. Your role will also involve analyzing, defining, and documenting requirements for data flows, processes, hardware and software environments, network connectivity, system interfaces, and security controls. You will communicate technical assessments, proposals, and alternatives to both technical and non-technical audiences, including senior management. Furthermore, you will oversee 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 will also be part of your responsibilities. Lastly, you will be involved in designing, programming/developing, and modifying software systems and tools, both existing and potentially new in the future, which includes hands-on development work.

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)

Requirements

  • Significant experience leading increasingly complex data architecture projects
  • Significant experience with all of the following technologies: Oracle, Hadoop, Elasticsearch, SQL, Java, Linux
  • 15+ years of relevant Information Technology experience
  • 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
  • High School Diploma/GED

Nice-to-haves

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