> Markdown version of [/jobs/ext/3655584-data-architect](https://www.wearedevelopers.com/jobs/ext/3655584-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** RCT Systems - **Location:** Vienna, VA, United States - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Big Data, Cloud Computing, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Linux, DevOps, Data Flow Control, Graph Database, Apache Hadoop, Hadoop Distributed File System, Python (Programming Language), Neo4j, NoSQL, Cloudera, Software Engineering, SQL Databases, Data Streaming, Large Language Models, Apache Spark, Data Management, Presto, Data Pipelines - **Published:** October 9, 2026 - **Apply:** https://www.disabledperson.com/jobs/75931680-data-architect ## About the Role * Cloud infrastructure and data management, particularly AWS. * TS/SCI with polygraph * Multiple operating systems: Windows, Linux, and macOS. * Data engineering and processing. * Python. * Building and executing ETL pipelines. * Big-data technologies such as HDFS, Cloudera, Spark, and Presto. * SQL and NoSQL databases. * Data-flow integration and mission-oriented data systems. * Strong communication and collaboration skills. Desired Qualifications * Knowledge of targeting workflows and mission environments. * Large Language Models (LLMs) and agentic workflows. * Neo4j/graph databases. * Experience in a hard-target mission area. ## Description Senior-level Data Architect/SME supporting a customer mission focused on data acquisition, exploitation, engineering, and management. The role works across data engineering, software engineering, security, DevOps, application development, data science, and program management teams., * Design and support cloud-based data infrastructure and data management solutions. * Build and execute ETL/data processing pipelines. * Work across AWS, Hadoop/HDFS, Cloudera, Spark, Presto, SQL, and NoSQL environments. * Integrate data flows with industry-standard systems, including Niagara Falls. * Collaborate across contractor teams, customer personnel, and external stakeholders. * Communicate technical concepts clearly to both technical and non-technical audiences. * Work independently and proactively solve problems in a fast-paced environment.