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VCU Health

Cloud Data Architect III

Posted 10 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
The Cloud Data Architect designs and maintains unified data architecture, integrates diverse data sources, and leads data management strategies while mentoring junior architects.
The summary above was generated by AI
**Remote opportunity for candidates who reside and work in the following locations: VA, MD, WV, NC, SC, GA, FL, AL, AR, TN, KY, MO, TX, OH, MI, KS**
The Cloud Data Architect is responsible for designing, developing and maintaining a unified data architecture that forms the foundation of VCU Health’s data estate. The architect will balance hands-on technical expertise with strategic thinking to deliver scalable, secure, and innovative solutions that meet enterprise goals.
This role collaborates with Enterprise Analytics leadership, partners with data engineers, analysts and subject matter experts from cross-functional clinical/business areas to define standardized data models and ensure that the models are optimized to support data driven decision making.

Essential Job Statements

Leads the development of scalable and efficient data architectures by designing conceptual, logical and physical data models, storage solutions, and data integration processes on Cloud based Data Management platform. 

Designs, develops, and coordinates the integration of diverse data sources into a cohesive Data Lakehouse environment, ensuring quality, security and data privacy. 

Leads the development and maintenance of comprehensive documentation of data architecture, including reference architecture, design specifications, and data flow processes. 

Defines, and implements and orchestrates the best practices and standards for data integrity, data quality, metadata and master data management, and data lifecycle optimization. 

Coordinates with other Enterprise Analytics teams members to define the data management strategy and roadmap for the organization 

Stays current with industry trends, vendor product offerings, and emerging tech to ensure the organization leverages the best modern data management tools 

Leads the design of systems with a focus on scalability, performance optimization, and cost-efficiency in the cloud environment. 

Provides data management and architecture thought leadership to cross-functional teams in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, data discovery, database design and implementation.

 

Responsible for maintaining legacy technologies and processes as new ones are adopted. 

Mentors junior Data Architects. 

Patient Population: N/A 

Employment Qualifications 

Required Education: Bachelor’s Degree in Business, IT, Math, Data Analytics, Engineering, or related discipline 

Preferred Education: Master’s degree in Business, IT, Math, Data Analytics, Engineering or related discipline 

Licensing/ Certification

 Licensure/Certification Required: N/A

Licensure/Certification Preferred: N/A 

 

Minimum Qualifications 

 Years and Type of Required Experience: 8+ years of experience in Database design principles, Data Modeling and Data Warehousing including experience with SQL and NoSQL databases and Big Data technologies. 5+ years of experience in Python/PySpark for building and maintaining data pipelines.  3+ years of experience with cloud based modern data platforms and services (e.g., Azure, GCP or AWS).   

 

Other Knowledge, Skills and Abilities Required: Expert knowledge in database systems, data modeling techniques, and SQL proficiency. Significant experience working with JSON/YAML/XML/Parquet and other open-source data interchange and storage formats. Strong knowledge of Master data and Metadata management and data governance principles. Experience working with big data technologies like Spark, Kafka, NoSQL DB, Splunk etc. Significant experience with agile development processes and concepts. Strong knowledge of DevOps practices and CI/CD processes. Knowledge of Microservices architecture, Data Product and Data Mesh concepts. 

Other Knowledge, Skills and Abilities Preferred: Displays intellectual curiosity and integrity. Experience in healthcare environment. 

Combination of education and experience in lieu of a degree.     

Working Conditions: N/A

Physical Requirements 

Physical Demands: N/A 

Work Position: Sitting

Additional Physical Requirements/ Hazards  

Physical Requirements: N/A

Hazards: N/A

Mental/Sensory – Emotional   

Mental/Sensory: Strong Recall, Reasoning, Problem Solving, Hearing, Speak Clearly, Write Legibly, Reading, Logical Thinking

Emotional: Fast pace environment, Able to Handle Multiple Priorities, Frequent and Intense Customer Interactions, Able to Adapt to Frequent Change 

EEO Employer/Disabled/Protected Veteran/41 CFR 60-1.4.

Top Skills

AWS
Azure
GCP
Kafka
NoSQL
Pyspark
Python
Spark
Splunk
SQL

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