Principal Data Architect

                    

At Cleveland Clinic Health System, we believe in a better future for healthcare. And each of us is responsible for honoring our commitment to excellence, pushing the boundaries and transforming the patient experience, every day.

                        

We all have the power to help, heal and change lives — beginning with our own. That’s the power of the Cleveland Clinic Health System team, and The Power of Every One.

                                    

Job Title

Principal Data Architect

                        

Location

Cleveland

                    

Facility

Remote Location

                     

Department

Data and Analytics-Analytics

                      

Job Code

T97930

                     

Shift

Days

                       

Schedule

8:00am-5:00pm

                       

Job Summary

                         

Job Details

Join the Cleveland Clinic team where you will work alongside passionate caregivers and provide patient-first healthcare. Here, you will receive endless support and appreciation while building a rewarding career with one of the most respected healthcare organizations in the world.     

 

As a Principal 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. 

 

A caregiver in this position works days, from 8:00am—5:00pm. 

 

A caregiver who excels in this role will:   

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

• 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. 

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

• 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. 

• 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 designing 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.