Data Architect - Military veterans preferred

2019-01-09
ManTech (www.mantech.com)
Other

/yr

  full-time   employee   contract


Herndon
Virginia
United States


ManTech Growth & Capabilities (G&C) is seeking a hands-on solution architect with a passion for Big Data and Cyber-security Technologies, the ability to develop, implement and lead a specific technical strategy based on client and market needs. The ideal candidate will have a high level ability to understand and assess new technologies and understanding their applicability to business.

The candidate will provide technical leadership and service delivery strategy by actively identifying and solving complex problems, envisioning and enabling critical processes, and fundamentally helping the team and our customers achieve their objectives. The candidate will provide relevant, thoughtful and prescriptive advice, grounded in relevant experience, with clarity and objectivity. Must manage and implement multiple work streams in a timely manner ensuring delivery is on time, on budget, and according to customer specifications.

Responsibilities Include but are not limited to:

  • Performs as the hands on, Data Layer Architect and technical expert, in a small team environment, to solution and develop strategic technical capabilities for delivery of innovative solutions in the Cybersecurity and Data Science/Analytics spaces
  • Stays current and heavily engaged in project management including resources, schedule and tasks as specified by the established project protocol. In addition, performs the process of comparing actual performance with planned performance, analyze variances, evaluate possible alternatives and take appropriate corrective action ensuring management control on projects
  • Ensures customer satisfaction by continually innovating and offering compelling solutions that meet client business, technical and security requirements
  • Oversees the technical development to ensure the qualification, skills and abilities of the technical team match what our clients need and what the market reflects

Skills:


  • Hands on experience and expertise in relational and non-relational data layer technologies such as: Oracle, MySQL, Amazon RDS, Hadoop/Hive, Spark, NiFi, Kafka, Storm, Elastic, and Solr
  • Experience with Extract, Transform, and Load (ETL) capabilities and services to support data ingestion and data transformation
  • Data Layer architect experience within a multi-layered data environment to support flexible requirements for both vertical and horizontal search and discovery capabilities
  • Data-Mart and/or Data Warehouse experience to support the architecture and development of data aggregation and correlation layers
  • Familiarity with the latest technologies in machine learning, data mining, and predictive analytics to correlate the big datasets and events, and derive dynamic cybersecurity rules
  • Generate highly accurate and near real-time alerts based on the dynamic rules
  • Architect and work closely with other team members to develop a scalable cloud-based data analytics engine
  • Applied Machine Learning experience (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning)
  • Strong mathematical background (linear algebra, calculus, probability and statistics)
  • Experience with JavaScript and prototyping languages such as Python and R
  • Familiar with scalable distributed data processing, management, and visualization tools (e.g. Hadoop, ELK, Kafka, Accumulo, graph databases, etc.)
  • Familiar with data mining and analytics methods (e.g., clustering, sequences, networks, time series, deep learning, statistical analytics, etc.)
  • Ability to be enthusiastic, hands-on, with demonstrated delivery expertise in an agile and innovative environment
  • Ability to develop consultant technical skills to match the evolving needs of clients
  • Ability to produce technical documentation to effectively deliver problem solving solutions

Qualifications and Experience:


  • Requires Bachelors degree or equivalent and ten to twelve years of related experience. Minimum of four years experience in technology/tools specific to the target platforms
  • Demonstrated capability in architecting, developing, and delivering large, global, complex IT projects
  • Strong presence and demonstrated ability to build, extend and maintain senior client relationships
  • Exceptional communication, team building and mentoring skills
  • Demonstrated capability in developing professional talent
  • Competency in data layer architecture, data layer development, creation of data layer services to support complex Analytical Problem Solving, Product & Technology Expertise.

Clearance requirements:

TS//SCI eligible

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