Azure Data Architect & Modeler - Hybrid, Public Trust Ready

System One; Washington; Hybrid; USD 91,000 - 96,000; Full time

Job summary

System One is seeking a Data Modeler & Architect for a Washington, DC hybrid contract-to-hire engagement. The role requires deep expertise in data modeling across enterprise data warehousing, Azure cloud platforms, and BI reporting, with a record of delivering scalable, high-quality models.

You will collaborate with business users and stakeholders to capture needs, create conceptual, logical, and physical models, define mappings, and enforce data standards.

Qualifications

• BS degree in Computer Science or related field and 12+ years of relevant experience.
• Proficiency with Microsoft data warehousing and BI tools (SQL Server, SSIS/SSRS/SSAS, Power BI).
• Experience with Azure Data Lake, Synapse Analytics, and NoSQL data stores.
• Strong collaboration with stakeholders and experience in agile DevOps.

Responsibilities

• Model across conceptual, logical, and physical layers to support reporting and analytics.
• Create source-target mappings and data standards, address data quality issues.
• Optimize models for Azure cloud data architectures and performance.
• Partner with business users and stakeholders to gather requirements and gain buy-in.
• Support data governance, security, and compliance initiatives.
• Provide documentation for data models and related processes.

Skills

Data modeling

Business collaboration

Data governance

Cloud platforms

Education

BS in Computer Science or related field

Tools

SQL Server

SSIS/SSRS/SSAS

Power BI

Azure Synapse Analytics

Azure Data Lake

NoSQL, data lake medallion

Job description

System One is seeking a Data Modeler & Architect for a Washington, DC hybrid contract-to-hire engagement. The role requires deep expertise in data modeling across enterprise data warehousing, Azure cloud platforms, and BI reporting, with a record of delivering scalable, high-quality models.

You will collaborate with business users and stakeholders to capture needs, create conceptual, logical, and physical models, define mappings, and enforce data standards.