Job Title: Senior Data Architect
Location: Salt Lake City, Utah
Type: Permanent Full-Time
Compensation: Not specified
Work Model: Hybrid – onsite and remote
Hours: 40.0
Security Clearance: Not specified
Overview
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Responsibilities
- Design and maintain enterprise conceptual, logical, and physical data models, establishing canonical business entities, enterprise data domains, naming conventions, and reusable modeling standards.
- Architect scalable enterprise data solutions supporting business intelligence, reporting, analytics, data warehousing, and institutional decision-making requirements.
- Design and optimize dimensional data models, including star and snowflake schemas, semantic structures, and reusable analytical models for enterprise reporting.
- Evaluate existing data structures, warehouse models, and analytics architectures; identify gaps and recommend improvements for scalability, maintainability, performance, consistency, and reuse.
- Partner with Business Intelligence, Data Platform, Enterprise Architecture, application, and DBA teams to resolve complex data design challenges and ensure alignment with enterprise architecture standards.
- Define and recommend scalable ETL/ELT and enterprise data integration patterns, including integrations across ERP systems, enterprise applications, data platforms, and analytics solutions.
- Establish and promote data governance, metadata management, architecture documentation, reference architectures, and data modeling standards while contributing to the organization's long-term data strategy.
- Mentor BI and Data Platform engineers, conduct architecture/design reviews, and provide knowledge transfer while supporting analytics modernization initiatives involving Azure Synapse, Microsoft Fabric, and other Azure Data Platform technologies.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Science, or a related discipline, with a minimum of 7+ years of enterprise data architecture and data modeling experience.
- Expert level experience developing conceptual, logical, and physical data models, including enterprise data domains, canonical models, data modeling standards, and architecture documentation.
- Extensive experience with dimensional modeling, enterprise data warehouse architecture, star/snowflake schemas, and scalable data structures supporting BI and analytics.
- Strong hands-on experience with SQL Server and T SQL, including complex data analysis, database design, performance considerations, and enterprise data integration.
- Experience designing enterprise reporting, analytics, and semantic models, including Power BI semantic models or equivalent business intelligence technologies.
- Strong understanding of ETL/ELT architecture, data integration patterns, metadata management, data lineage, data quality, and enterprise data governance practices.
- Experience with modern cloud-based analytics/data platforms, preferably Azure Synapse Analytics, Microsoft Fabric, and broader Azure Data Platform technologies; experience modernizing enterprise analytics platforms is highly desirable.
- Strong architecture, analytical, documentation, communication, and mentoring skills; experience with higher education, Ellucian Banner ERP, DAMA practices, or relevant Microsoft/Azure certifications is an advantage.
System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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