Remote Senior Data Architect: EDW & Data Governance

United States Digital Space LLC; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

United States Digital Space LLC is seeking a remote Senior Data Architect to support the JIMS 3.0 data integration and modernization effort. The role focuses on consolidating reporting data marts into an Enterprise Data Warehouse (EDW) and related data marts and views.

The candidate will handle data architecture, profiling, data modeling, ETL development, data quality, reporting validation, and enterprise data governance, collaborating with technical and non-technical stakeholders across the

Qualifications

• Post-secondary degree in CS/IT/Data Management or related field.
• 5+ years architecture risk assessment experience.
• 2+ years public-sector environment experience.
• 5+ years data architecture, modeling, and enterprise data solutions.
• 5+ years data modeling/architecture tools experience (SAP/Sybase PowerDesigner or equivalent).
• Strong SQL and SSIS experience.
• Experience with data warehousing, ETL, data marts, facts and dimensions.
• Experience with Power BI or similar BI tools.
• Strong understanding of data governance, data quality, and cybersecurity policies.
• Excellent communication skills with the ability to explain complex technical concepts to stakeholders.

Responsibilities

• Support data architecture, data profiling, data modeling, and ETL development.

Skills

Data architecture

Data modeling

ETL development

SQL/Relational databases

SSIS

Power BI

Data governance

Cybersecurity policies

Communication skills

Education

Bachelor’s or higher in Computer Science / Information Technology / Data Management

Tools

SAP/Sybase PowerDesigner

Job description

United States Digital Space LLC is seeking a remote Senior Data Architect to support the JIMS 3.0 data integration and modernization effort. The role focuses on consolidating reporting data marts into an Enterprise Data Warehouse (EDW) and related data marts and views.

The candidate will handle data architecture, profiling, data modeling, ETL development, data quality, reporting validation, and enterprise data governance, collaborating with technical and non-technical stakeholders across the