
51 - 200 employees
Founded 2011
🎖️ Defense
🏛️ Government
🤖 Artificial Intelligence
Defense • Government • Artificial Intelligence
Praescient Analytics is a mission-focused analytics and engineering company that transforms data into actionable intelligence for government, defense, and law enforcement customers. It combines advanced analytics, AI/ML, data science, cyber analytics, and secure IT/cloud engineering to provide operational and investigative support, predictive modeling, and mission-ready technology solutions. The firm embeds experienced practitioners — former federal agents, intelligence officers, military veterans, data scientists, and engineers — to deliver precision-driven solutions that strengthen national security, combat threats, and optimize federal operations.
🔥 1 hour ago
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51 - 200 employees
Founded 2011
🎖️ Defense
🏛️ Government
🤖 Artificial Intelligence
Defense • Government • Artificial Intelligence
Praescient Analytics is a mission-focused analytics and engineering company that transforms data into actionable intelligence for government, defense, and law enforcement customers. It combines advanced analytics, AI/ML, data science, cyber analytics, and secure IT/cloud engineering to provide operational and investigative support, predictive modeling, and mission-ready technology solutions. The firm embeds experienced practitioners — former federal agents, intelligence officers, military veterans, data scientists, and engineers — to deliver precision-driven solutions that strengthen national security, combat threats, and optimize federal operations.
• Formulate, experiment with, and articulate alternative enterprise data architectures • Create comprehensive model, schema, ontologies, and interface specification documents, validating the data architecture against strict federal requirements and security assumptions • Design end-to-end data architectures, including data warehouses, data lakes, operational data stores, and metadata management repositories, aligning them with the Agile SAFe v6.0 roadmap • Author the blueprints for migrating and modernizing complex legacy data systems into highly distributed, cloud-native storage and analytical solutions specifically optimized for AWS GovCloud • Define enterprise data standards, data dictionaries, and master data management practices • Establish the governance models required to safely integrate third-party federal data sources while maintaining strict data lineage • Partner with backend engineers to design frameworks for high-volume, low-latency batch and stream processing pipelines (e.g., Kafka, Kinesis, Spark) that effortlessly bridge application and analytics tiers • Serve as the principal data advisor across the entire program • Work with software engineers, system architects, and customer application experts to evaluate technical trade-offs and drive advanced analytics capabilities • Leverage Jira, Confluence, and SAFe processes to translate high-level mission capabilities and agency mandates into foundational architectural epics, technical features, and data roadmaps.
• Active U.S. Secret clearance is required • Must be a U.S. Citizen to meet federal contract mandates • Bachelor’s degree in Computer Science, Data Architecture, Information Systems, or a related field with 10–12 years of relevant data design and integration experience OR Master’s degree in a related field with 8–10 years of relevant experience OR PhD in a related field with 5–7 years of relevant experience • Deep, extensive proficiency in conceptual, logical, and physical data modeling • Expert knowledge of relational (OLTP) modeling, dimensional (OLAP) modeling, Data Vault 2.0 methodology, and NoSQL structural design • Comprehensive experience designing and implementing enterprise cloud data structures within AWS and AWS GovCloud, specifically utilizing Redshift, Lake Formation, Glue, EMR, Athena, S3, and DynamoDB • Expert-level knowledge of enterprise-grade relational databases (Oracle, PostgreSQL), NoSQL engines, and massive parallel processing (MPP) data warehouses • Expert proficiency with industry-standard data modeling tools (e.g., Erwin, ER/Studio, or open-source equivalents), Git, Jira, and Confluence within an automated DevSecOps environment • Proven ability to work without supervision on highly complex, mission-critical projects, exercising wide latitude for independent judgment • Strong interpersonal skills with the ability to articulate complex data visions to both engineering teams and senior federal stakeholders.
• Very competitive salary based on qualifications and experience • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles) • 401(k) with company match • Travel & performance incentives • 3 weeks paid time off (plus Federal Holidays) • $5K annual training allowance
Apply Now🔥 1 hour ago
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