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Azure Databricks Architect

MagicforceUnited States🇺🇸United StatesPosted 29 Aug 2026

Why This Role Stands Out

This hybrid role offers a significant opportunity to lead impactful digital transformation initiatives within the healthcare payer domain, leveraging your expertise in Azure Databricks and enterprise data warehousing. If you excel in architecture, data engineering, and stakeholder management, you'll thrive in this position, contributing to innovative solutions and career growth. Apply today to shape the future of data strategy!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
1 week ago
OracleSQLSQL ServerETLApacheApache SparkAzureDatabricksGitHadoopPharmacyPythonStakeholder ManagementVault

Job Description

We are seeking a highly experienced Techno-Functional Azure Databricks Architect with deep expertise in the Healthcare Payer domain and a proven track record of leading large-scale Enterprise Data Warehouse (EDW) to Azure Databricks migration programs. The ideal candidate will possess strong architecture, data engineering, stakeholder management, and delivery leadership skills, capable of driving digital transformation initiatives from strategy through execution.

This role requires a blend of technical architecture expertise, domain knowledge in healthcare payer operations, and program leadership capabilities including client engagement, work allocation, team mentoring, and governance management.

 

 

Required Technical Skills

Azure Ecosystem

  • Azure Databricks
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics
  • Azure Data Lake Storage Gen2 (ADLS)
  • Azure SQL Database
  • Azure Functions
  • Azure Key Vault
  • Azure Monitor
  • Microsoft Fabric (preferred)

Data Engineering

  • Apache Spark
  • PySpark
  • Delta Lake
  • SQL
  • Python
  • ETL/ELT Design
  • Data Modeling (Dimensional & Data Vault)
  • Data Quality Frameworks

Enterprise Data Warehouse Experience

Experience with one or more:

  • Teradata
  • Netezza
  • Oracle EDW
  • SQL Server
  • IBM DB2
  • Hadoop Ecosystem

DevOps & Automation

  • Azure DevOps
  • CI/CD Pipelines
  • Git
  • Infrastructure as Code
  • Deployment Automation

Healthcare Payer Expertise

Strong experience working with:

  • Member Data
  • Claims Data
  • Provider Data
  • Eligibility & Enrollment
  • Benefits Configuration
  • Encounter Data
  • Risk Adjustment Data
  • HEDIS Measures
  • Pharmacy Data
  • Value-Based Care Programs
  • CMS Reporting Requirements

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