Data Systems Architect; Healthcare

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• Data Systems Architect (Healthcare)

• Developing and designing IT systems and infrastructure architecture to meet organizational needs and goals.
• Creating detailed diagrams, blueprints, and documentation that outline system components, configurations, and network topology.
• Ensuring seamless integration of new and existing IT systems and technologies.
• Assessing and recommending technologies, platforms, and solutions based on business requirements and industry trends.
• Working closely with stakeholders, including IT teams, management, and vendors, to align IT architecture with business objectives.
• Architecting solutions within Microsoft Azure Government environments following FedRAMP and federal security requirements.
• Designing data architecture leveraging Azure Synapse Analytics, Serverless SQL Pools, and Serverless PySpark Pools.
• Leading development of data transformation, cleansing, and quality pipelines using PySpark Notebooks.
• Designing orchestration workflows using Synapse Pipelines for end-to-end data movement and processing.
• Defining storage and metadata strategies using Azure Delta Lake, Parquet file formats, and CSV-based metadata structures
• Implementing data testing and validation using Great Expectations and PyTest frameworks
• Applying deep understanding of healthcare data standards such as SNOMED, ICD, CPT, LOINC, RXNORM, CVX, and NDC across data models and transformations.
• Performs other job-related duties as assigned.

Experience, Education, Skills, Abilities requested:

• Strong background in Healthcare IT and experience with Apache Spark required.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (4+ years of additional experience can replace degree requirement).
• Experience developing long-term IT strategies and roadmaps aligned with business goals.
• Ability to identify and mitigate risks across IT architecture and infrastructure.
• Demonstrated technical leadership during solution design, implementation, and troubleshooting.
• Ensuring the quality, performance, and scalability of IT solutions through rigorous testing and evaluation.
• Experience with cloud-native data architectures using:
  
  Microsoft Azure Government Azure Synapse Analytics Serverless SQL & PySpark Pools Py Spark  & Python scripting
  
  Parquet, Delta Lake, and metadata-driven file structures
  
  Great Expectations / PyTest for data validation
• Familiarity with Healthcare Domain and Terminology Sets (SNOMED, ICD, CPT, LOINC, RXNORM, CVX, NDC) required.