About this Data Architect role at Clarity Innovations
Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.
Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.
We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.
Data Architects develop models, policies, and standards to govern what data is collected, how it is stored, arranged, and integrated for use in systems across the enterprise. This position will focus on the value of holistic systems. They map out the interactions in a pipeline and diagram out those interactions.
A Data Architect shall perform the following tasks:
• Translate requirements into technical specifications, including data streams, integrations, transformations, databases, data lakes, and data warehouses
• Architect ingestion and storage of data from multiple data sources, relational SQL and NoSQL databases such as SQL, MongoDB, and other platform APIs
• Work with database administrators and analysts to secure easy access to data by creating database solutions, evaluating requirements, and preparing design reports
• Define data architecture framework, standards and principles related to modeling, metadata, and security
• Define reference architectures and data flows
• Prepare detailed reports for leadership and Directorates by analyzing and interpreting data
- A minimum of 1 year of hands-on Data Science experience is required.
- Bachelor's Degree in a STEM field is required.
- Verifiable work experience building large scale data workflows making data available to data engineers, data scientists, and machine learning engineers.
- Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations.
- Secret Clearance
- Familiarity with DoD
- Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
- Top Secret Clearance with SCI Eligibility
