Chief Data Architect

1 week ago

Bethesda, Maryland, United States TekSynap Full time
Job Summary

We are seeking a highly skilled Chief Data Architect to join our team at TekSynap. As a key member of our organization, you will be responsible for defining and implementing a Big Data implementation framework, translating mission needs into Big Data system, analytic, and visualization tools requirements, and working with multi-disciplinary teams to design, guide engineering solutions, and then explore, examine, and visualize data to extract knowledge and insights from large and complex collections of digital data.

Key Responsibilities
  • Big Data Implementation Framework: Define and implement a Big Data implementation framework that meets the mission needs of our organization.
  • Requirements Definition: Translate mission needs into Big Data system, analytic, and visualization tools requirements.
  • Team Collaboration: Work with multi-disciplinary teams to design, guide engineering solutions, and then explore, examine, and visualize data to extract knowledge and insights from large and complex collections of digital data.
  • Advanced Analytics: Design, develop, test, deploy, and use associated advanced analytic and data science tools including data visualization, link analysis, correlation, sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.
Requirements
  • Education: A minimum of a Bachelor's degree in computer science, data analytics, software engineering, or related technical field.
  • Experience: A minimum of five years of hands-on experience with Big Data applications, such as Hadoop, and associated applications (e.g., administration, CM, monitoring, performance tuning, etc.).
  • Security Clearance: TS/SCI with Polygraph.
Preferred Qualifications
  • Government Mission Experience: Experience working in a government mission Data Exploitation environment (e.g., acquiring data, storing data, processing data, analyzing data, visualizing data, turning data into intelligence products, disseminating data, and knowledge management).
  • Cloud Computing: Experience supporting a cloud computing environment (e.g., private, hybrid, and/or public).
  • Leadership Experience: Experience leading and managing cross-functional technology teams.
  • Programming Languages: Experience leading major programming/scripting languages like Java, Linux, C++, PHP, Ruby, Python and/or R.
  • ETL Tools: Experience working with ETL tools such as Informatica, Talend.
  • Data Warehousing: Experience designing solutions for multiple large data warehouses with cluster and parallel architecture as well as high-scale or distributed platforms.
  • Research and Development: Experience in the research and development of applications/services in disciplines such as Natural Language Processing, Machine Learning, Conceptual Modeling, Statistical Analysis, Predictive Modeling, and Hypothesis testing.
Work Environment and Physical Demands
  • Location: Bethesda, MD.
  • Work Schedule: Schedule is day shift Monday – Friday. May be requested to work evenings and weekends to meet program and contract needs.
  • Travel: 30% within WMA.

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