Data Systems Architect

7 days ago


MagstattleBas, Grand Est, United States Barbaricum Full time

Barbaricum, a rapidly growing government contractor, is seeking an experienced Data Systems Architect to provide support for an emerging capability at the USSTRATCOM J2 in Omaha, Nebraska. We offer a competitive salary of $145,000 per year.

About Barbaricum

We are a leader in our space, partnering with firms in the private sector, academic institutions, and industry associations to continually build our expertise and capabilities. Our teams are at the forefront of the Nation's most complex and rewarding challenges.

Job Description

This individual will work to migrate existing ad hoc data flows to JWICS AWS available to the enterprise. The Data Systems Architect will design, implement, and operate data management systems for intelligence needs, using Python to automate data workflows and designing algorithms, databases, and pipelines to access and optimize data retrieval, storage, use, integration, and management by different data regimes and digital systems.

Responsibilities
  • Design, implement, and operate data management systems for intelligence needs
  • Use Python to automate data workflows
  • Design algorithms, databases, and pipelines to access and optimize data retrieval, storage, use, integration, and management by different data regimes and digital systems
  • Work with data users to determine, create, and populate optimal data architectures, structures, and systems; and plan, design, and optimize data throughput and query performance
  • Participate in the selection of backend database technologies (e.g., SQL, NoSQL, etc.), its configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness
  • Assist and advise the Government with developing, constructing, and maintaining data architectures
  • Research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government
  • Align data architecture, acquisition, and processes with intelligence and analytic requirements
  • Prepare data for predictive and prescriptive modeling deploying analytics programs, machine learning, and statistical methods to find hidden patterns, discover tasks and processes which can be automated, and make recommendations to streamline data processes and visualizations
  • Design, implement, and support scalable data infrastructure solutions to integrate with multi-heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models, and ad-hoc data requests
  • Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute, and manipulate data in order to draw conclusions and make predictions
Qualifications
  • Active DoD Top Secret clearance required
  • 8+ years of demonstrated experience in software engineering
  • Bachelor's degree in computer science or a related field. A degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics and/or other relevant experience
  • 8+ years of experience working with AWS big data technologies (S3, EC2) and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and/or Data Warehousing
  • Demonstrated mid-level knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • 3+ years of experience using analytical concepts and statistical techniques
  • 8+ years of demonstrated experience across Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science especially around software engineering and/or designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence
Preferred Experience
  • ArcGIS expertise
  • Experience using Python's NumPy
  • Familiar with git-based revision control
  • Familiar with DevSecOps analytics development
Contact Information

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