Principal Data Platform Architect

Job Description:

The Principal Data Platform Architect will be focused on revolutionizing healthcare through AI and generative AI technologies. This role will be instrumental in architecting a healthcare analytical data platform to support the development of a variety of healthcare applications, and deployment of AI models. The Principal Data Platform Architect will play a critical role in transforming healthcare data into actionable insights, ensuring compliance with industry standards while leveraging cutting-edge technologies.

Data Engineering & Pipeline Development:

• Collaborate with the business analysts and data architects in the design and build of a comprehensive common healthcare analytical data model following modern data architecture principles
• Design, implement, and optimize ETL/ELT pipelines to support data ingestion and transformation from diverse healthcare data sources.
• Develop and maintain scalable data pipelines for real-time and batch processing to meet traditional BI application and advanced AI/ML needs.
• Work with structured, semi-structured, and unstructured data to create usable datasets for reports and dashboards along with AI model training and deployment.

 
Database Management:

• Manage and optimize a variety of databases, including Postges, NoSQL, graph databases, and cloud-based databases like Snowflake and Redshift.
• Ensure efficient storage, retrieval, and integration of data across different systems.

AI Integration:

• Collaborate with data scientists and AI engineers to create datasets for a variety of use cases.
• Implement data annotation, curation, and augmentation techniques to enhance data readiness for AI/ML applications.

 
Healthcare Data Expertise:

• Apply knowledge of healthcare data standards such as HL7 and FHIR, ensuring adherence to HIPAA compliance and other regulatory requirements.
• Address challenges related to unstructured data extraction and large-scale data ingestion in EMR/EHR systems.

Collaboration & Innovation:

• Work closely with cross-functional teams, including healthcare specialists, to understand and address data needs.
• Ensure data quality, integrity, and security, especially when dealing with sensitive healthcare data.

Continuous Improvement:

• Stay updated with emerging technologies and frameworks in data engineering, AI, and healthcare.
• Contribute to the continuous improvement of processes and tools within the data engineering team.

Perform other duties that support the overall objective of the position.

Education Required:

• Bachelor’s degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Or, any combination of education and experience which would provide the required qualifications for the position.

Experience Required:

• 10+ years of proven experience as a technical lead or manager on projects following modern architectural paradigms such as Data Lake, Data Lakehouse, and Data Mesh for high volume analytics.
• Hands on experience with ETL/ELT development using tools such as dbt, Fivetran, Spark, Snowpark including orchestration via Airflow or similar.
• Hands on experience orchestrating data pipelines in implementing star-schema data models for traditional BI applications
• Experience working with cloud platforms like AWS, Azure, or Google Cloud.

Knowledge, Skills & Abilities:

• Knowledge of: Familiarity with big data frameworks such as Apache Spark, Kafka, and Hadoop. Knowledge on preparing and managing datasets for AI/ML model training and deployment. Understanding of data processing for voice, image, and text-based AI solutions. Familiarity with healthcare data standards and interoperability protocols. Knowledge of EMR/EHR systems and healthcare data management challenges.
• Skill in: Strong programming skills in Python, and/or Scala,/Java, and SQL. Excellent problem-solving and debugging skills. Strong communication and collaboration abilities to work with diverse stakeholders.
• Ability to: Handle diverse data types and ensuring scalability in a complex environment.

The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate.

NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.