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  • Posted 14 days ago
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Job Description

Responsibilities:

  • Design and implement scalable cloud data architecture on Microsoft Azure.
  • Architect modern data platforms including data lakes, lakehouse, and data warehouse solutions.
  • Develop and maintain enterprise data models to support healthcare analytics and reporting.
  • Design and optimize ETL/ELT pipelines using Azure Data Factory and related Azure services.
  • Build large-scale data processing pipelines using Azure Databricks and Spark frameworks.
  • Implement analytics platforms using Azure Synapse Analytics.
  • Design secure storage and data lake solutions using Azure Data Lake Storage.
  • Integrate data from EHR, EMR, clinical systems, and healthcare applications.
  • Implement data governance, lineage, cataloging, and quality frameworks.
  • Define and enforce data security, access control, encryption, and PHI protection mechanisms.
  • Enable advanced analytics and BI using Microsoft Power BI.
  • Work closely with data engineers, analysts, data scientists, and healthcare SMEs to deliver data solutions.
  • Provide architecture guidance, best practices, and technical leadership across data initiatives.
  • Conduct architecture reviews and performance optimization for enterprise data platforms.

Required Qualifications:

  • Strong experience with Azure cloud data architecture and services.
  • Strong knowledge of data modeling (dimensional, star schema, or data vault).
  • Experience with SQL, Python, or Spark-based data processing.
  • Experience designing batch and real-time data pipelines.
  • Experience implementing data lakehouse and enterprise data platforms.
  • Strong understanding of data governance, data quality, and metadata management.
  • Knowledge of data security and compliance frameworks in healthcare.

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Job ID: 144698769