> Markdown version of [/jobs/ext/4514262-data-modeler-architect](https://www.wearedevelopers.com/jobs/ext/4514262-data-modeler-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 Modeler & Architect

- **Company:** System One
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Salary:** $137,696
- **Contract:** Temporary to permanent
- **Skills:** Agile Methodology, Microsoft Azure, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Stores, Data Warehousing, DevOps, Python (Programming Language), Microsoft SQL Server, SQL Azure, NoSQL, Windows PowerShell, Reference Data, Power BI, Azure Data Lake, SQL Stored Procedures, SQL Databases, SQL Server Reporting Services, SQL Server Integration Services, SQL Server Analysis Services, Transact-SQL, Scripting, Data Lakes, Information Technology, Data Management, Physical Data Models, Data Delivery, Azure Synapse Analytics
- **Published:** November 2, 2026
- **Apply:** https://www.juju.com/job/16_1302f4b01

## About the Role

* At least a BS degree in Computer Science or related field and 12+ years of relevant experience
 * 6+ years of proven experience with data modeling for Microsoft enterprise data warehousing, including analytical models.
 * 4+ years of experience working directly with client stakeholders and business users on data needs analysis.
 * Proficiency with development and implementation of transactional/dimensional data models, source-target mapping, data transformation logic, data standards, data quality resolution.
 * Experience developing conceptual, logical, and physical data models.
 * Demonstrated experience with the definition, design, and development of subject specific domain data models supporting reporting and queries.
 * Understanding of various database technologies (relational, dimensional, NoSQL, data lake medallion).
 * Proficiency using Microsoft database and business intelligence tools, including SQL Server (e.g., stored procedures), SSIS, SSRS, SSAS, (cubes), and Power BI.
 * Proficiency with more than one of the follow scripting languages: SQL, T-SQL, Python, PowerShell.
 * Experience with and knowledge of Azure Data Lake Services, Azure Synapse Analytics, Azure SQL MI, and other related services.
 * Experience advising ETL & data engineering teams.
 * Strong communication and collaboration skills.
 * Experience with Agile DevOps methodology.
 * Open mindset, continuous learning and ability to quickly adopt new technologies to solve customer problems.
 * US Citizenship and ability to successfully obtain a government-issued Public Trust clearance.

## Description

Job Title: Data Modeler & Architect Location: Washington, DC (hybrid) Type: Contract To Hire Compensation: $66.20/HR on W2 Security Clearance: US Citizenship and ability to successfully obtain a government-issued Public Trust clearance, * Work with business users to understand business data needs, business processes, and challenges. Working with business analysts, system owners, and other stakeholders to gather requirements.

 * Create and maintain conceptual, logical, and physical data models to support business requirements, reporting and analytics.
 * Create and maintain source-target mappings, recommend and incorporate data standards, identify data quality issues and recommend remediations.
 * Communicate with stakeholders to ensure clear understanding of models and get buy-in, and support stakeholders in development of queries and reports.
 * Optimize models for Azure cloud data architectures, including but not limited to data lake medallion architecture, Synapse Analytics, Azure SQL Managed Instance, NoSQL data stores, and Power BI.
 * Support reengineering efforts to transition workloads from the legacy Enterprise Data Warehouse to Azure Data Lake Platform.
 * Optimize data models for performance, data quality, and scalability.
 * Work with data governance team, data stewards, subject matter experts to recommend and implement data standards, including for vocabulary, data formats, and reference data.
 * Work with the DevOps team to support and advise on implementation.
 * Provide hands-on support for reporting, data requests, data calls, and other forms of data delivery.
 * Ensure support for data governance frameworks, security best practices, and compliance regulations.
 * Create and maintain documentation for data models and related processes.
 * Implement and enforce data modeling standards and best practices.
 * Assist with troubleshooting data-related issues and providing technical support.