Integration Azure Data Architect - MS Fabric | Veeva | MDM | ADF | Data Bricks | Life Sciences

Role Summary

This is a senior, client-facing onshore role requiring deep technical expertise, strong leadership presence, and the ability to independently drive architecture decisions across large, complex programs while managing distributed (onshore/offshore) engineering teams. Preferable to have working experience on Life Sciences Clinical R&D specifically Veeva CTMS implementation and Integrations.

• Architect complex, high-volume data platforms spanning batch, real-time, and streaming pipelines using Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Event Hubs/Stream Analytics, and Data Lake Storage Gen2.
• Lead enterprise data modeling efforts (conceptual, logical, physical) across multiple domains supporting analytics, BI, and AI/ML use cases.
• Define and enforce data governance, lineage, cataloging, and quality frameworks (Azure Purview or equivalent).
• Own the security and compliance architecture encryption, RBAC, Private Endpoints, Key Vault, data masking, and regulatory alignment (GDPR, HIPAA, GxP).

Required Skills & Experience

• 10 years in data engineering/architecture, with hands-on experience in Azure data services at an architect level.
• Deep, demonstrable expertise across:

Azure Data Factory / Synapse Pipelines

Azure Synapse Analytics (dedicated & serverless SQL pools)

Azure Databricks (PySpark, Delta Lake, Unity Catalog)

Azure Data Lake Storage Gen2

Azure SQL Database / Managed Instance / Cosmos DB

Microsoft Fabric (working knowledge strongly preferred)

• Good to have at least one implementation of a Life Sciences Clinical R&D project, either EDC, CTMS or eTMF implementation. Veeva CTMS implementation and Integrations to Veeva is preferred.
• Proven experience architecting Lakehouse, Medallion architecture, and modern data mesh patterns.
• Strong command of data modeling (3NF, Star/Snowflake, Data Vault 2.0).
• Advanced proficiency in SQL, Python/PySpark, and Spark performance tuning.
• Deep knowledge of Azure security & networking (Managed Identity, Private Link, VNet integration, Azure Firewall).
• Hands-on experience with Infrastructure as Code (Terraform or Bicep) and Azure DevOps CI/CD.
• Strong background in MDM, data governance, and metadata management tools (Purview, Collibra, or similar).
• Track record of leading large-scale migrations (Teradata/Netezza/On-prem SQL Azure).
• Excellent stakeholder management able to independently lead C-level/VP-level architecture conversations.