Data Architect/Management Specialist

ob Title: Data Architect/Management Specialist

Job Location: Philadelphia - 2 days onsite

Job Type: Full-time

Focus: Azure, Fabric, Data Factory

A leading healthcare is seeking a full-time Data Architect/Management Specialist to join their team in the Philadelphia office. The Data Architect/Management Specialist provides strategic direction and thought leadership for enterprisewide data warehousing and infrastructure. They architect largescale solutions, set longterm governance frameworks, and ensure data assets are leveraged for transformation and competitive advantage. This role drives innovation by adopting emerging technologies and guiding crossfunctional teams through complex integrations. Data Architect/Management Specialist influence executive decisions by translating infrastructure capabilities into business growth opportunities.

Responsibilities:

• Define enterprise-level data architecture and infrastructure strategy.
• Lead design of advanced data warehouses, data lakes, and hybrid architectures.
• Drive adoption of best practices in automation, DevOps, and CI/CD for data systems.
• Evaluate and implement emerging technologies (AI/ML integration, advanced analytics).
• Partner with executives and stakeholders to align data infrastructure with business strategy.
• Serve as a subject matter expert and mentor across the organization.
• Guide cloud resource planning, cost optimization, and capacity management.
• Troubleshoot higher-level cloud issues and coordinate with vendors or internal teams.
• Collaborate with DevOps, Security, and Product teams on cloud roadmaps.

Minimum Qualifications

• Bachelor s Degree Business, Computer Science, Finance, Information Systems or related field.
• 7 years experience in data engineering and infrastructure with a demonstrated ability to influence organizational strategy and lead innovation.
• Proficiency in Python, SQL, ETL packages, strategic design of extractions, and data integration process.
• Expert knowledge of business intelligence applications and modeling concepts.
• Expertise with cloud-based data tools (Azure Fabric, Data Factory, Synapse, or similar).
• Strong understanding of Azure resource management, security controls, and cloud governance.
• Deep expertise in multiple data warehousing platforms and cloud ecosystems.
• Experience with advanced data governance, compliance, and security frameworks.
• Strong knowledge of interoperability standards and enterprise integration.
• Excellent communication and leadership skills.