
51 - 200 employees
Founded 2011
🎖️ Defense
💼 Consulting
📦 Logistics
Defense • Consulting • Logistics
DecisionPoint Corporation is a Service Disabled Veteran Owned Small Business specializing in IT modernization and digital transformation for government agencies. They provide comprehensive services including cybersecurity, health IT, and intelligent automation solutions, aimed at improving operational efficiency and effectiveness while ensuring secure cloud migration. Their Centers of Excellence approach drives mission success by addressing the most pressing challenges faced by government entities through innovative technology and expert support.
🕒 December 11, 2025
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51 - 200 employees
Founded 2011
🎖️ Defense
💼 Consulting
📦 Logistics
Defense • Consulting • Logistics
DecisionPoint Corporation is a Service Disabled Veteran Owned Small Business specializing in IT modernization and digital transformation for government agencies. They provide comprehensive services including cybersecurity, health IT, and intelligent automation solutions, aimed at improving operational efficiency and effectiveness while ensuring secure cloud migration. Their Centers of Excellence approach drives mission success by addressing the most pressing challenges faced by government entities through innovative technology and expert support.
• Design enterprise data models, schemas, and data contracts for cross-system interoperability • Architect integration flows across CMS, E-EFMP, analytics systems, APIs, and shared services • Lead design of ETL/ELT pipelines, data transformation logic, and data ingestion processes • Develop event-driven architectures leveraging queues, messaging, and asynchronous workflows • Govern data mapping, lineage tracking, metadata strategy, and data quality standards • Collaborate with API architects to ensure consistent data contracts across integration layers • Define standards for data exchange, payload formatting, versioning, and schema evolution • Ensure data and integration designs align with IL5 cloud security, RMF controls, and Zero Trust principles • Oversee data migration planning, modernization strategy, and cross-system interface redesigns • Support analytics teams with data modeling, warehouse integration, and dataset provisioning • Produce enterprise data architecture documents, diagrams, and reference materials • Participate in architecture review boards, modernization planning, and cross-team technical discussions
• Must hold an active Secret clearance • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field • Minimum 10 years of experience in data architecture, integration engineering, or enterprise system architecture • Experience designing data models, ETL pipelines, and event-driven data architectures • Experience supporting cross-system integrations, API data flows, or large-scale data ecosystems • Experience designing modern data architectures in federal or DoD mission environments • Strong understanding of enterprise data modeling, schema design, and metadata strategies • Experience designing integration workflows using APIs, messaging, and middleware platforms • Knowledge of ETL/ELT tools, pipelines, and data transformation frameworks • Understanding of event-driven architectures (pub/sub, message queues, streaming platforms) • Strong familiarity with AWS GovCloud IL5 data services and secure cloud architectures • Knowledge of DoD cybersecurity requirements, RMF controls, and Zero Trust data protection • Experience with modern data platforms (Redshift, Snowflake, Databricks, or equivalent) preferred • Experience with API gateways, microservices, or service mesh architecture preferred • Experience with data cataloging, lineage tracking, or governance tools preferred • Required ITIL v4 Foundation certification • Required CompTIA Security+ certification • AWS Solutions Architect certification preferred • Data architecture or engineering certifications preferred • CISSP, CISM, or other advanced security certifications preferred • Strong analytical and systems-thinking abilities • Excellent communication and collaboration skills across technical and mission teams • High attention to detail with strong documentation discipline • Ability to design complex data and integration solutions spanning multiple systems • Strong leadership and ability to drive enterprise-wide data architecture alignment
• Regular full-time employment • Equal employment opportunity and affirmative action protections • Pay transparency protections • Potential consideration for other available positions requiring comparable skills, education, and experience
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