

NULogic
Azure Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Azure Data Architect" on a long-term hybrid contract in the Bay Area. Requires 8+ years in data engineering, expertise in Azure technologies, and experience with HIPAA-regulated environments. Preferred experience in pharma data ecosystems. Pay rate: "C2C/W2".
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 8, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
California, United States
-
🧠 - Skills detailed
#BI (Business Intelligence) #Data Ingestion #Data Architecture #MDM (Master Data Management) #Data Lake #Compliance #Data Aggregation #Data Lakehouse #Data Management #Spark (Apache Spark) #SQL (Structured Query Language) #Migration #Synapse #Data Pipeline #Azure #Automation #Documentation #Scripting #CRM (Customer Relationship Management) #Datasets #Python #ADF (Azure Data Factory) #Consulting #Microsoft Power BI #Azure DevOps #Data Migration #DevOps #Data Engineering #Azure Data Factory #Azure Synapse Analytics #SharePoint
Role description
Role: Azure Data Migration Architect / Lead
Client: Pharma/Life science
Location: Bay Area (San Jose or Sunnyvale or Pleasanton etc)
Contract: Long Term
Working Model: Hybrid
Contract: C2C/W2
Visa: H1B, GC, USC, H4EAD
Skills & Technical Requirements:
Required = must be demonstrated from Day 1. Preferred = advantageous for this engagement.
Skill / Technology
Level
Skill / Technology
Level
Azure Synapse Analytics
Required
Parallel environment validation
Required
Azure Data Factory (ADF)
Required
Pipeline documentation & handover
Required
Azure Data Lake Gen 2
Required
MDM (Master Data Management)
Preferred
T-SQL / Serverless SQL Pools
Required
GxP / regulated data environments
Preferred
SFTP endpoint management & migration
Required
Pharma commercial data ecosystems
Preferred
HIPAA / PHI data handling
Required
Specialty pharmacy / claims data feeds
Preferred
Azure RBAC & identity management
Required
Power Query / Excel automation
Preferred
Power BI (datasets, gateways, RLS)
Required
GxP-compliant SharePoint
Preferred
Python scripting for data pipelines
Required
Azure DevOps / CI/CD pipelines
Preferred
Spark Pools / Data Lakehouse patterns
Required
Veeva / Salesforce CRM data
Preferred
Experience & Background
Essential:
• 8+ years in data engineering or data architecture, with a minimum of 4 years delivering on Azure (Synapse, ADF, Data Lake Gen 2)
• Proven experience leading production data platform migrations — not greenfield builds — from a source environment to a new Azure tenant under delivery timelines
• Hands-on experience managing SFTP-based data ingestion from multiple concurrent external vendors
• Demonstrated experience handling PHI data in HIPAA-regulated environments, including technical documentation for compliance and BAA processes
• Ability to inherit, reverse-engineer, and document pipelines from third-party managed service providers with varying documentation quality
• Experience running parallel environment validation — comparing source and target outputs at scale — prior to production cutover
• Comfortable operating as the primary technical owner on a time-pressured delivery program with direct stakeholder accountability
Preferred:
• Background in pharmaceutical or life sciences commercial data — specialty pharmacy, patient support programs, claims, payer intelligence, or distribution data
• Experience migrating Power BI environments across tenants, including RLS re-implementation and dataset re-mapping
• Consulting or professional services background — proven ability to document as you go and produce clean handover deliverables
• GxP validated data environment or regulated SharePoint experience
• Familiarity with Azure Synapse managed services and third-party data aggregation platforms in pharma
Role: Azure Data Migration Architect / Lead
Client: Pharma/Life science
Location: Bay Area (San Jose or Sunnyvale or Pleasanton etc)
Contract: Long Term
Working Model: Hybrid
Contract: C2C/W2
Visa: H1B, GC, USC, H4EAD
Skills & Technical Requirements:
Required = must be demonstrated from Day 1. Preferred = advantageous for this engagement.
Skill / Technology
Level
Skill / Technology
Level
Azure Synapse Analytics
Required
Parallel environment validation
Required
Azure Data Factory (ADF)
Required
Pipeline documentation & handover
Required
Azure Data Lake Gen 2
Required
MDM (Master Data Management)
Preferred
T-SQL / Serverless SQL Pools
Required
GxP / regulated data environments
Preferred
SFTP endpoint management & migration
Required
Pharma commercial data ecosystems
Preferred
HIPAA / PHI data handling
Required
Specialty pharmacy / claims data feeds
Preferred
Azure RBAC & identity management
Required
Power Query / Excel automation
Preferred
Power BI (datasets, gateways, RLS)
Required
GxP-compliant SharePoint
Preferred
Python scripting for data pipelines
Required
Azure DevOps / CI/CD pipelines
Preferred
Spark Pools / Data Lakehouse patterns
Required
Veeva / Salesforce CRM data
Preferred
Experience & Background
Essential:
• 8+ years in data engineering or data architecture, with a minimum of 4 years delivering on Azure (Synapse, ADF, Data Lake Gen 2)
• Proven experience leading production data platform migrations — not greenfield builds — from a source environment to a new Azure tenant under delivery timelines
• Hands-on experience managing SFTP-based data ingestion from multiple concurrent external vendors
• Demonstrated experience handling PHI data in HIPAA-regulated environments, including technical documentation for compliance and BAA processes
• Ability to inherit, reverse-engineer, and document pipelines from third-party managed service providers with varying documentation quality
• Experience running parallel environment validation — comparing source and target outputs at scale — prior to production cutover
• Comfortable operating as the primary technical owner on a time-pressured delivery program with direct stakeholder accountability
Preferred:
• Background in pharmaceutical or life sciences commercial data — specialty pharmacy, patient support programs, claims, payer intelligence, or distribution data
• Experience migrating Power BI environments across tenants, including RLS re-implementation and dataset re-mapping
• Consulting or professional services background — proven ability to document as you go and produce clean handover deliverables
• GxP validated data environment or regulated SharePoint experience
• Familiarity with Azure Synapse managed services and third-party data aggregation platforms in pharma





