Job Description:
Position Summary:
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, and leveraging cloud-native technologies to optimize performance, scalability, and maintainability. The architect ensures seamless integration of enterprise-wide data while designing solutions that align with cloud best practices, including containerization, microservices, and serverless architectures. As a technical leader, the architect collaborates with cross-functional teams enterprise-wide, troubleshoots reporting, products, and data issues, and guides development teams in full-stack and cloud-native development best practices. They research emerging technologies, create reusable frameworks, document technical designs, and ensure data systems are designed for efficient deployment and management in cloud environments. This role is critical and has ultimate oversight in delivering innovative, cloud-optimized data and artificial intelligence (AI) products aligned with business goals.
Essential Functions:
Job Profile:
- Requires depth within a specialized, critical discipline and/or breadth of substantive professional knowledge that crosses disciplines within the professional field
- Interprets internal/external business challenges and recommends best practices to improve products, processes or services
- May lead functional teams or projects with moderate resource requirements, risk, and /or complexity
- Leads others to solve complex problems; uses sophisticated analytical thought and critical thinking skills to exercise judgment and identify innovative solutions
- Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies
- Works independently, with guidance in only the most complex situations
- Communicates difficult concepts and negotiates with others to adopt a different point of view
Job Specific Responsibilities:
Technical Leadership:
- Define and deliver high-level cloud medallion data architecture that empowers enterprise-wide analytics and AI solutions to address business objectives and balance scalability, performance, and security
- Mentor and advise data professionals (engineers and analysts) within Enterprise Data Analytics, Information Services, and operational analytics teams, championing best practices in healthcare cloud data architecture, data and AI product development, standard operating procedures (SOPs), DevOps, and SDLC throughout the organization and enabling growth across teams
- Translate architectural designs into actionable tasks for development teams
- Evaluate, select, and implement emerging technologies (e.g., data mesh, GenAI data stack, lakehouse evolution) that meet the unique demands of the organization, with foresight for future scalability and interoperability
Collaboration and Communication:
- Work with stakeholders, including product owners, business analysts, and project managers, to ensure technical solutions meet business and user needs.
- Coordinate with cross-functional teams to ensure successful integration of data and components
System Design and Development:
- Lead the design and integration data from source applications (e.g. electronic health records, enterprise resource planning, and other health information systems), leveraging API, ELT (extract, load, and transform), and cloud-based infrastructure
- Make architecture decisions that align with long-term organizational goals and industry best practices, using systems performance and process modeling to establish a robust foundation
- Leverage expertise in software engineering practices, back-end technologies, databases, data development/engineering, and artificial intelligence/machine learning engineering to build robust solutions
- Ensure solutions align with industry best practices for user experience, security, integrity, patient privacy, regulatory compliance, and quality
Project Management:
- Develop and communicate project estimates and work plans, ensuring tasks and deliverables adhere to schedules and budgets
- Manage cross-functional teams and align project execution with organizational objectives
- Align project goals with agile methodologies such as Scrum and Kanban
- Communicate progress to stakeholders and adjust plans to meet evolving requirements
Documentation and Technical References:
- Produce and maintain detailed documentation of design components, including technical designs, program specifications, and interim components
- Produce and maintain comprehensive documentation of data architecture frameworks, policies, and procedures for transparency and accountability
- Prepare operational manuals, technical references, security policies, and user training materials to support system deployment and maintenance
System Monitoring and Maintenance:
- Oversee data, analytics, and AI operating environments across production, UAT, QA, and development systems or bronze, silver, and gold layers of cloud platform.
- Perform regular system upgrades, patches, and performance-tuning enhancements to ensure optimal functionality and reliability
- Monitor the performance of solutions within the cloud data platform and strategize optimization measures to consistently improve system or query performance, decrease processing time, reduce costs, and enhance overall productivity
Collaboration and Communication:
- Collaborate with business and clinical stakeholders, directors, managers, analytics and data science teams, and informatics specialists to communicate data and AI architectural concepts and technical strategies
- Build and maintain strong relationships with stakeholders by providing technical guidance and addressing concerns effectively
- Lead the enterprise data architecture and innovation roadmap, aligned with the organization’s business and technology strategy
- Guide engineering, product, security, and compliance leaders to ensure data platform supports real-time analytics, ML/AI, and regulatory needs
Work Experience:
- At least 10+ years of hands-on experience in data extraction, data architecture, data administration, data modeling, data management, BI, with heavy focus on data warehousing and ELT technologies is REQUIRED
Education:
- Four-year Bachelor's degree or equivalent experience (Computer Science, Data Science, Engineering, Information Systems, or related field.) is REQUIRED
- Graduate or professional work or advanced degree; or equivalent experience is PREFERRED
Licenses and Certifications:
- Data Architect certification (e.g., SnowPro Advanced Architect, Microsoft Azure Data Architect, AWS Certified Solutions Architect, Google Professional Data Engineer, healthcare IT certifications) is REQUIRED
- Denodo is PREFERRED
Non-Management Knowledge, Skills, and Abilities:
- Maintain effectiveness when experiencing major changes in work responsibilities or environment; adjust effectively to work within new work structures, processes, requirements, or cultures.
- Use appropriate interpersonal styles to establish effective relationships with customers and internal partners; interact with others in a way that promotes openness and trust and gives them confidence in one's intentions.
- Meet patient and patient family needs; take responsibility for a patient's safety, satisfaction, and clinical outcomes; use appropriate interpersonal techniques to resolve difficult patient situations and regain patient confidence.
- Ensure that the customer perspective is a driving force behind business decisions and activities; craft and implement service practices that meet customers' and own organization's needs.
- Develop and use collaborative relationships to facilitate the accomplishment of work goals.
- Identify and understand issues, problems, and opportunities; compare data from different sources to draw conclusions; use effective approaches for choosing a course of action or developing appropriate solutions; take action that is consistent with available facts, constraints, and probable consequences.
- Take prompt action to accomplish objectives; take action to achieve goals beyond what is required; be proactive.
- Deal effectively with others in an antagonistic situation; use appropriate interpersonal styles and methods to reduce tension or conflict between two or more people.
- Effectively manage one's time and resources to ensure that work is completed efficiently.
- Accomplish tasks by considering all areas involved, no matter how small; showing concern for all aspects of the job; accurately checking processes and tasks; being watchful over a period of time.
- Set high standards of performance for self and others; assume responsibility and accountability for successfully completing assignments or tasks; self impose standards of excellence rather than having standards imposed.
- Assimilate and apply new job-related information in a timely manner.
- Clearly convey information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message.
