VBeyond Corporation
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with 10–15+ years of Data Engineering experience in the Healthcare Payer/Medicaid domain. Contract length is unspecified, with a strong focus on Azure services and data governance expertise required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Pennsylvania, United States
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🧠 - Skills detailed
#Synapse #Data Engineering #Azure Data Factory #ADLS (Azure Data Lake Storage) #Azure SQL #Security #SQL Server #Azure Databricks #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Data Lake #AI (Artificial Intelligence) #Data Modeling #Python #Snowflake #Azure #Data Processing #Compliance #Data Architecture #Programming #SQL (Structured Query Language) #Vault #Batch #Data Governance #Azure DevOps #DevOps #Databricks #PySpark #ADF (Azure Data Factory) #Cloud
Role description
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.
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.
