Data Engineer / Data Architect

Key Responsibilities:

• Architect and build scalable Azure-based data platforms
• Develop and optimize ETL/ELT pipelines using Python, PySpark, and SQL
• Design robust data models (dimensional, SCD, historized data)
• Implement data governance, security, and compliance frameworks
• Work with Databricks, ADF, Synapse, and other Azure services
• Contribute to AI-assisted SDLC and agentic workflows

Required Skills:

• 10–15+ years in data engineering / architecture
• Strong hands-on experience with:
  • Azure Data Lake (ADLS Gen2), Databricks, ADF, Synapse
  • Azure SQL / SQL Server, Azure DevOps
• Expertise in SQL, Python, PySpark
• Strong understanding of:
  • Lakehouse architecture, batch & streaming processing
  • Incremental data processing & CDC
• Experience with data modeling and optimization

Preferred Experience:

• Healthcare Payer / Medicaid domain
• Knowledge of Claims, Member, Provider, Eligibility data
• Familiarity with HIPAA / PHI compliance

Education:

• Bachelor’s or Master’s degree in Engineering or related field
• Relevant certifications are a plus