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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & Integration Architect - **Company:** DecisionPoint Corporation - **Location:** Reston, VA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Big Data, Cloud Computing Security, CompTIA Security+, Information Systems, Data as a Services, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Migration, Data Structures, Data Systems, Electronic Data Interchange (EDI), Middleware, Interoperability, Metadata, Meta-Data Management, Queueing Systems, Zero Trust Network Access, Data Streaming, Systems Integration, Management of Software Versions, Enterprise Data Management, Data Ingestion, Istio, Snowflake, Event Driven Architecture, Information Technology, Data Lineage, Enterprise Integration, Integration Frameworks, Api Gateway, Data Pipelines, Amazon Redshift, Databricks, Microservices - **Published:** July 30, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/15042430?backUrl=%2Fcareer%2F15042430%2FData-Integration-Architect-Virginia-Reston ## About the Role Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field. Experience (Required) * 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. Technical Knowledge (Required) * 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. Technical Knowledge (Preferred) * Experience with modern data platforms (Redshift, Snowflake, Databricks, or equivalent). * Experience with API gateways, microservices, or service mesh architecture. * Experience with data cataloging, lineage tracking, or governance tools. Certifications Required: * ITIL v4 Foundation * CompTIA Security+ Preferred: * AWS Solutions Architect (Associate or Professional) * Data architecture or engineering certifications * CISSP, CISM, or other advanced security certifications Skills * 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. ## Description DecisionPoint seeks a Data & Integration Architect to design and govern enterprise data models, integration flows, data contracts, and event-driven architectures that support mission-critical systems including CMS, E-EFMP, analytics platforms, and API ecosystems. This senior role ensures that data structures, pipelines, and integration patterns are secure, scalable, interoperable, and aligned with DoD and IL5 cloud requirements. The Data & Integration Architect collaborates closely with application architects, API engineers, cloud architects, analytics teams, and cybersecurity personnel to ensure enterprise-wide consistency across data, integration, and shared information flows. This position is fully remote., The Data & Integration Architect will: 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 all 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Rate-limiting using eBPF and Istio: How to protect your SaaS customers from themselves](https://www.wearedevelopers.com/videos/100220-rate-limiting-using-ebpf-and-istio-how-to-protect-your-saas-customers-from-themselves) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)