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TS/SCI Data Architect

Insight Global - Hampton, VA

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Job Description

Job Description Insight Global is seeking a qualified Data Architect in support of one of our federal clients in Hampton, VA. They will be supporting the data side of military operations. The dayu2011tou2011day will include: Serve as the data architecture SME, working closely with customers, data scientists, and data governance teams to shape data strategy and solutions. Gather and translate business and mission requirements into scalable data architectures, explaining technical concepts clearly to nonu2011technical stakeholders. Design data models, data flows, and integration patterns, supporting data migration, ETL pipelines, and streaming workflows across structured and unstructured data. Integrate and fuse ISR datasets (sensor, signal, imagery) into secure, resilient pipelines that support realu2011time and operational analytics. Perform exploratory data analysis and automate data processes, using tools like Python to improve efficiency and enable higheru2011value analyst work. Stay current on AI/ML and data architecture trends, continuously assessing how emerging technologies can enhance missionu2011aligned data solutions. Compensation: $62/hr. to $67/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements 5+ years of experience with data architecture, including designing conceptual, logical, and physical data models. 3+ years of experience with integrating structured and unstructured data sources into scalable and secure pipelines. 2+ years of experience developing or managing ETL/ELT workflows and automation pipelines for data ingestion and processing. Experience with relational and non-relational database systems, such as SQL, PostgreSQL, or NoSQL (MongoDB, DynamoDB). Knowledge of tools and platforms such as AWS cloud environments, Elastic Stack, Docker, or similar data-related software ecosystems. Ability to translate requirements from ISR stakeholders into actionable data architecture designs and technical solutions. Active TS/SCI clearance. Bacheloru2019s degree in Computer Science, Data Science, Systems Engineering, or a related technical field. Experience with AI/ML techniques for automating data analysis or enhancing workflows in operational environments. Experience building big data solutions or handling high-volume ISR datasets, including geospatial, sensor, and signal data. Knowledge of visualization tools such as Power BI, Tableau, or Kibana for delivering operational insights. Ability to work in contested or degraded environments and strengthen data flows with secure practices. Knowledge of ISR frameworks, including SIGINT/GEOINT processing, adversary modeling, or multi-domain operations. Masteru2019s degree in Data Science, Analytics, or a related technical discipline. Certifications such as AWS Certified Solutions Architect, Data Management certifications (e.g., CDMP), or CISSP.

Created: 2026-04-04

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