Senior Architect Data Management

Job Details

This position provides strategic leadership in the design and governance of enterprise data ecosystems. They define and drive data management strategies, policies, and standards to ensure data integrity, compliance, and optimal use across the organization. This role oversees the implementation of advanced tools and technologies, guiding teams in building scalable, secure, and integrated data solutions. Partnering with executives and stakeholders, the senior architect translates complex data requirements into actionable frameworks that enable innovation and informed decision-making.

Job Description

Job Duties

• Design scalable and secure data solutions using Microsoft Fabric components (OneLake, Data Factory, Power BI, Synapse).
• Develop and maintain robust data models, pipelines, and semantic layers to support analytics and reporting.
• Lead technical implementation of data platform modernization initiatives, including migration to Fabric.
• Collaborate with business analysts and data engineers to translate business needs into data architecture blueprints.
• Ensure adherence to data governance, quality, and security standards across projects.
• Conduct performance tuning and cost optimization of data workflows and reporting assets.
• Provide technical mentorship to architects and engineers; contribute to architectural reviews and standards.

Minimum Qualifications

• Bachelor’s Degree Business, Computer Science, Finance, Information Systems or related field.
• 7 years proven experience in data architecture or solution design within BI, analytics, or data engineering domains and hands-on experience with DAX, SQL, and at least one scripting language (Python or Spark).
• Ability to understand complex business processes, rules, and business acumen to become a subject matter expert.
• Advanced knowledge of business intelligence applications and modeling concepts.
• Proficiency in SQL, ETL packages, strategic design of extractions, and data integration process.
• Strong knowledge of Microsoft Fabric and Azure data services.
• Proficiency in dimensional modeling, ELT/ETL processes, and semantic modeling.
• Understanding of CI/CD and DevOps practices for data solutions.
• Strong communication and cross-functional collaboration skills.

Preferred Qualifications

• 7 years experience with finance, healthcare, retail, insurance, or other data-intensive industries.
• Exposure to hybrid or multi-cloud data environments.
• Familiarity with modern data architecture patterns (e.g., lakehouse, data mesh).

Work Shift

Workday Day (United States of America)

Worker Sub Type

Regular

Employee Entity

Thomas Jefferson University

Primary Location Address

833 Chestnut Street, Philadelphia, Pennsylvania, United States of America

Nationally ranked, Jefferson, which is principally located in the greater Philadelphia region, Lehigh Valley and Northeastern Pennsylvania and southern New Jersey, is reimagining health care and higher education to create unparalleled value. Jefferson is more than 65,000 people strong, dedicated to providing the highest-quality, compassionate clinical care for patients; making our communities healthier and stronger; preparing tomorrow's professional leaders for 21st-century careers; and creating new knowledge through basic/programmatic, clinical and applied research. Thomas Jefferson University, home of Sidney Kimmel Medical College, Jefferson College of Nursing, and the Kanbar College of Design, Engineering and