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Job description
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.
Key Responsibilities
Own and drive the enterprise data architecture roadmap across Azure, aligning with business strategy and long-term scalability goals.
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).
Serve as the primary technical authority in client architecture reviews, steering committees, and executive presentations.
Lead and mentor a team of data architects and senior data engineers, both onshore and offshore.
Drive modernization/migration initiatives - legacy on-prem warehouses to Azure, or multi-cloud to Azure consolidation.
Establish and govern CI/CD, IaC (Terraform/Bicep), and DevOps practices for data platform delivery.
Own cost optimization and FinOps practices across Azure data services.
Conduct architecture governance reviews, risk assessments, and design authority sign-offs (HLD/LLD).
Partner with enterprise architects, security teams, and business leadership to ensure alignment with overall IT strategy.
Evaluate and pilot emerging Azure data/AI capabilities (e.g., Microsoft Fabric, AI Foundry integration) and recommend adoption.
Required Skills & Experience
10+ years in data engineering/architecture, with hands-on experience in Azure data services at an architect level.
Azure Synapse Analytics (dedicated & serverless SQL pools)
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.
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Worksite address
wilmington, DE, 19894, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.