> Markdown version of [/jobs/ext/4013814-data-architect-data-modeling-aws](https://www.wearedevelopers.com/jobs/ext/4013814-data-architect-data-modeling-aws). 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 (Data Modeling, AWS) - **Company:** Open Data Watch, Inc. - **Location:** Washington, DC, United States - **Experience:** Experienced - **Salary:** $112,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Amazon Web Services, Amazon S3, Apache HTTP Server, Cloud Database, Data Architecture, Information Engineering, Data Governance, Data Systems, Programming Tools, Amazon DynamoDB, Apache Hadoop, IBM InfoSphere (ETL Tools), PostgreSQL, Microsoft PowerPoint, Apache Spark, AWS Lambda, Data Lakes, Information Technology, AWS Glue, Data Management, Amazon Elastic Mapreduce (EMR) - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-architect-data-modeling-aws-washington-dc--ac44ecfb-b866-4349-a3f9-5c21b1a4c9c4 ## About the Role DataArchitect Data Modeling Tool, Data Modeling, Amazon Web Services (AWS), Public Company Accounting Oversight Board (PCAOB), Artificial Intelligence (AI), Securities and Exchange Commission (SEC), Defense Contract Audit Agency (DCAA), Government, Problem Solving Skills, Customer Training, * 4+ years of data architecture and data modeling experience * 4+ years of cloud data architecture on AWS, including AWS Glue, Amazon EMR, and AWS Lambda * Bachelor's degree * Schema design across a data lake and relational stores, including S3 with Apache Iceberg tables, Amazon Aurora PostgreSQL, and Amazon DynamoDB * Data governance and security, with Apache Ranger or comparable access controls * Data modeling tools, for example ER/Studio or IBM InfoSphere * Communication with technical and non-technical stakeholders * Proficiency in writing, PowerPoint, and Excel Preferred * Master's degree in a relevant field * Hadoop or Spark * Breadth across the data lifecycle: data engineering, data product, data science, or data management * Federal information technology experience * Familiarity with AI-assisted developer tools Who you are You see the whole data system and care how each piece fits. You model precisely, you can explain a design to an engineer or an executive, and you leave every data estate in better shape than you found it. You experiment, fail, learn, and repeat quickly. You would rather own an outcome than be handed a task. What you bring * Deep skill in data modeling and schema design, across both a data lake and relational stores on AWS. * The tools of the architect's trade, including cloud data services, governed access, and modeling tools, plus the judgment to restructure a live data ecosystem without breaking it. * The communication skills to win support for a design from technical and non-technical stakeholders, in a regulated environment where accuracy and auditability are not optional. When we talk Be prepared to discuss a difficult problem you worked through, the decisions you made, what happened, and what you learned. ## Description You will work alongside developers, engineers, data scientists, architects, and strategists, on work ranging from strategy to implementation. We support your development across assignments and clients through extensive onboarding, sponsored professional certifications such as the Data Management Capability Assessment Model (DCAM) and AWS technical certifications, and rotation across functions to expand your skills and perspective. The mission is real, the problems are hard, and you own what you ship.