Join the Cleveland Clinic team, where you will work alongside passionate caregivers and provide patient-first healthcare. Cleveland Clinic is recognized as one of the top hospitals in the nation. At Cleveland Clinic, you will work alongside passionate and dedicated caregivers, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world.

As the Data Architect, you will lead the design, implementation, and optimization of data warehouse solutions at Cleveland Clinic. Your role involves leveraging modern tools and technologies to create secure, scalable, and high-performance data ecosystems that support data integration, analysis, and reporting for improved patient care, operational efficiency, and informed decision-making.

At Cleveland Clinic, we know what matters most. That's why we treat our caregivers as if they are our own family, and we are always creating ways to be there for you. Here, you'll find that we offer: resources to learn and grow, a fulfilling career for everyone, and comprehensive benefits that invest in your health, your physical and mental well-being and your future. When you join Cleveland Clinic, you'll be part of a supportive caregiver family that will be united in shared values and purpose to fulfill our promise of being the best place to receive care and the best place to work in healthcare.

The ideal candidate serves as a subject matter expert and provides leadership across all activities in data architecture . The ideal candidate will be someone who can be a key contributor to the Senior Analytics team and support the overall AI strategy.

Responsibilities:

• Evaluate the current on-premises (Teradata et al) infrastructure and applications to determine what should be migrated to the cloud.

• With analytic leadership, develop a migration strategy and roadmap that outlines the timeline, budget, and key milestones, ensuring high value, high usage assets take priority.

• Ensure that security measures and compliance requirements are met during migration and deployment.

• Plan and execute the migration of data from on-premises systems to the cloud.

• Consider data transfer methods, such as bulk data transfer, online data transfer, or using data migration services provided by the cloud provider.

• Validate data integrity and consistency post-migration.

• Architect and design cloud-based data warehouse solutions that cater to the specific data requirements of healthcare entities, such as electronic health records (EHRs), medical imaging data, patient demographics, clinical workflows, external quality related data, HRIS, ERP, etc.

• Define healthcare-specific data models, schemas, and data flow processes that ensure accurate and efficient data integration.

• Devise optimal strategies for what data assets are included in a data lake/lakehouse/warehouse.

• Build technology prototypes as part of the design process as well as occasional coding of production deliverables.

• Develop, standardize, and oversee ETL/ELT pipelines that extract diverse data sources, transform data into usable formats, and load it into the cloud data warehouse.

• Implement data validation and quality checks to maintain the integrity of critical patient information.

• Ensure compliance with healthcare regulations such as HIPAA, GDPR, and other data privacy standards when architecting data solutions.

• Stay up to date with cloud technologies relevant to healthcare data management, leveraging platforms like AWS, Azure, Google Cloud, Snowflake, Databricks, etc.

• Develop architectures that enable end to end management of data lineage, data quality, and data stewardship across federated teams.

• Facilitate robust data governance practices specific to healthcare data, ensuring data quality, privacy, and regulatory compliance.

• Collaborate with cybersecurity experts and data governance groups to establish stringent security measures for protecting patient health information (PHI) and sensitive data.

• Design the cloud data warehouse to scale seamlessly as healthcare data volumes increase, accommodating the growing demands of medical records and diagnostics.

• Leverage cloud platform features to enable optimal data retrieval.

• Implement cloud monitoring and management tools to track the performance, availability, and cost of cloud resources.

• Optimize cloud resource utilization to maintain cost-effectiveness while adhering to healthcare data storage and performance requirements.

• Monitor resource consumption and recommend resource adjustments based on usage patterns.

• Collaborate closely with healthcare data analysts, clinicians, and administrators to understand analytical requirements and design data structures that support evidence-based decision-making and clinical insights.

• Enable the creation of analytics dashboards, predictive modeling, and population health management analytic assets.

• Work in tandem with healthcare IT teams, data engineers, Operations, Finance, medical professionals, and administrators to align cloud data warehouse solutions with the Cleveland Clinic's mission and goals.

• Provide expert guidance and leadership to other Data Architects across the organization, with a focus on standardizing and improving the discipline. Mentor and create architectural bench strength within the Data and Analytics organization.

• Other duties as assigned.

Education:

• Bachelor's degree in Health Informatics, Computer Science, MIS or a related field. Master's degree preferred.

Certifications:

Complexity of Work:

• Expert knowledge of healthcare provider data models, Epic preferred.

• Previous data cloud/warehouse/architecture deployment for a large enterprise/organization a must.

• Expertise in cloud (AWS, Google Cloud, Snowflake, Azure Data Stack, etc) with knowledge of their healthcare-specific services and compliance measures.

• In-depth understanding of healthcare data regulations, including HIPAA, GDPR, and other relevant standards.

• Hands on proficiency in SQL, Python, Java and/or Scala

• Familiarity with healthcare data standards (e.g., HL7, FHIR).

• Experience with Data Streaming technologies like Kafka is preferred.

• Experience with Machine learning frameworks is preferred.

• Strong analytical, problem-solving, and communication skills.

• Ability to collaborate effectively with multidisciplinary teams, including medical professionals.

• Relevant cloud certifications and healthcare informatics certifications are highly advantageous.

Work Experience:

• 10+ experience as a data architect or similar role, with specific focus on cloud data warehousing within the healthcare sector.

Physical Requirements:

• Ability to perform work in a stationary position for extended periods.

• Ability to travel throughout the hospital system.

• Ability to operate a computer and other office equipment.

• Ability to communicate and exchange accurate information.

Personal Protective Equipment:

• Follow standard precautions using personal protective equipment as required.

Pay Range

Minimum hourly: $72.70

Maximum hourly: $143.58

The pay range displayed on this job posting reflects the anticipated range for new hires. While the pay range is displayed as an hourly rate, Cleveland Clinic recruiters will clarify whether the compensation is hourly or salary. A successful candidate's actual compensation will be determined after taking factors into consideration such as the candidate's work history, experience, skill set, and education. This is not inclusive of the value of Cleveland Clinic's benefits package, which includes among other benefits, healthcare/dental/vision and retirement.

Cleveland Clinic Health System is pleased to be an equal employment employer: Women / Minorities / Veterans / Individuals with Disabilities