Principal Cloud Data Architect

Role Description

The Principal Cloud Solution Data Architect designs, develops, and implements scalable, secure, and high-performance data solutions, integrating source systems, data stores, interfaces, and cloud infrastructure. This role involves:

• Analyzing business requirements
• Creating system-level data architectures
• Leveraging cloud-native technologies to optimize performance, scalability, and maintainability
• Ensuring seamless integration of enterprise-wide data
• Designing solutions that align with cloud best practices, including containerization, microservices, and serverless architectures
• Collaborating with cross-functional teams enterprise-wide
• Troubleshooting reporting, products, and data issues
• Guiding development teams in full-stack and cloud-native development best practices
• Researching emerging technologies and creating reusable frameworks
• Documenting technical designs
• Ensuring data systems are designed for efficient deployment and management in cloud environments

Qualifications

• At least 10 years hands-on experience in data extraction, data architecture, data administration, data modeling, data management, BI, with heavy focus on data warehousing and ELT technologies
• Four-year Bachelor's degree or equivalent experience required
• Graduate or professional work or advanced degree; or equivalent experience preferred
• Data architecture certification (e.g. SnowPro, Advanced Architect, Microsoft Azure Data Architect, AWS, Certified Solutions Architect, Google Professional Data Engineer, or healthcare IT certifications) required within 180 Days of hire
• Denodo preferred

Requirements

• Define and deliver high-level cloud medallion data architecture
• Mentor and advise data professionals within Enterprise Data Analytics, Information Services, and operational analytics teams
• Translate architectural designs into actionable tasks for development teams
• Evaluate, select, and implement emerging technologies
• Work with stakeholders to ensure technical solutions meet business and user needs
• Lead the design and integration of data from source applications
• Make architecture decisions that align with long-term organizational goals
• Leverage expertise in software engineering practices and AI/machine learning engineering
• Develop and communicate project estimates and work plans
• Manage cross-functional teams and align project execution with organizational objectives
• Produce and maintain detailed documentation of design components
• Oversee data, analytics, and AI operating environments
• Monitor the performance of solutions within the cloud data platform
• Collaborate with business and clinical stakeholders
• Lead the enterprise data architecture and innovation roadmap

Benefits

• Employee portion of medical plan premiums are covered after 3 years
• 4%-10% employee savings plan match based on tenure
• Paid Parental Leave (up to 12 weeks)
• Caregiver Leave
• Adoption and surrogacy reimbursement