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Lead Data Modeler

2 months ago


Arlington, Virginia, United States Two Six Technologies Full time
Join Our Team as a Lead Data Modeler

We are seeking a highly skilled Lead Data Modeler to lead our team in developing a unified data model that ties multiple DoD domains together. As a key member of our team, you will work closely with our customer to understand their requirements and develop a conceptual, logical, and physical data model that meets their needs.

Key Responsibilities:

  • Develop and optimize conceptual, logical, and physical data models to meet customer and business requirements
  • Work with database engineers to guide the development and evolution of data models
  • Support the development of exemplar use cases, guidelines, standards, and documentation for design, use, and maintenance of data models
  • Lead all data modeling efforts and work directly with the customer

Requirements:

  • 7+ years of experience working with SQL
  • 5+ years as a backend engineer or system architect
  • 2+ years of data modeling experience
  • BS in Computer Science, Information Technology, or equivalent field
  • Active Top Secret (TS) with SCI Eligibility and the ability to obtain and maintain polygraph

Preferred Qualifications:

  • Experience with government Command and Control systems and military doctrine
  • Familiarity with existing data model standards, particularly cyber-related models such as Structured Threat Information Expression (STIX), STIX Cyber-observable Objects (SCO), etc.
  • Knowledge of data serialization frameworks
  • Broad experience across various database types, including SQL, NoSQL, time-series, and graph databases

About Two Six Technologies:

We are a leading provider of innovative products and solutions that solve complex challenges. Our team is dedicated to delivering high-quality results and making a positive impact on our customers and the world.

Equal Opportunity Employer:

Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, marital status, disability, genetic information, or protected veteran status.