Data Architect / Delivery Lead

PamTen Inc

Philadelphia, PA

JOB DETAILS
SKILLS
Artificial Intelligence (AI), Centers for Disease Control and Prevention (CDC), Cloud Architecture, Computer Programming, Continuous Deployment/Delivery, Continuous Integration, Data Lake, Data Modeling, Data Processing, Data Quality, DataArchitect Data Modeling Tool, Database Extract Transform and Load (ETL), DevOps, HIPAA (Health Insurance Portability and Accountability Act), Healthcare, Medicaid, Microsoft Windows Azure, Product Testing, Production Systems, Python Programming/Scripting Language, Query Optimization, SQL (Structured Query Language), Snowflake Schema, Software Development Lifecycle (SDLC), Star Schema, Traceability
LOCATION
Philadelphia, PA
POSTED
5 days ago
As a Data Architect / Delivery Lead you will design, build, and manage Azure-based data engineering solutions for healthcare clients, while leading end-to-end delivery, ensuring data quality, governance, and alignment with business requirements.

Required:
  • 10 15+ years of experience in Data Engineering (hands-on delivery roles)
  • Experience in Healthcare Payer / Medicaid domain with knowledge of Claims, Member, Provider, Eligibility data and HIPAA/PHI compliance
  • Strong Azure-first cloud experience (architecture, implementation, operations)
  • Hands-on expertise in Azure services: ADLS Gen2, Azure Databricks, Azure Data Factory (ADF), Azure Synapse, Azure SQL / SQL Server, Azure Key Vault, Azure DevOps (Repos, Pipelines, Boards)
  • Strong programming skills in SQL (advanced querying, optimization), Python, PySpark
  • Experience building ETL / ELT pipelines and working with batch & streaming data processing
  • Strong data modeling experience: conceptual, logical, physical, dimensional (star/snowflake), SCDs, historized data
  • Knowledge of Data Lake / Lakehouse architectures, CDC, and incremental data processing
  • Ability to review and optimize data models, transformations, and schema evolution
  • Experience implementing data governance across Dev/Test/Prod environments
  • Exposure to CI/CD pipelines and DevOps practices
  • Experience with AI-assisted / Agentic development, including task breakdown, architecture definition, guardrails, and governance
  • Understanding of AI-assisted SDLC, security, compliance, auditability, and traceability.

About the Company

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PamTen Inc