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IQVIA

Director, Architecture

IQVIA

Director of Architecture leading architecture strategy and solution design for data and platform transformation at IQVIA. Overseeing end-to-end solution architecture and enabling advanced analytics in multi-cloud environments.

Posted 7/10/2026full-timeWayne • Pennsylvania • 🇺🇸 United StatesLead💰 $119,900 - $334,200 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud Platform

About the role

Key responsibilities & impact
  • Lead architecture strategy and governance across a large-scale, multi-cloud data and platform program
  • Define and drive architecture standards, patterns, and best practices to ensure consistency, scalability, and reusability across solutions
  • Oversee end-to-end solution architecture across complex environments (Azure, AWS, GCP), guiding teams in designing scalable and resilient systems
  • Translate business and program requirements into practical, high-quality architecture and technical solutions
  • Lead design reviews and ensure alignment with agreed architectural patterns and standards
  • Drive the design and evolution of modern data platforms using technologies such as Snowflake, Databricks, and lakehouse/data mesh architectures
  • Architect data warehousing, data integration, and analytics solutions supporting high-volume, large-scale data processing
  • Enable advanced analytics, AI/ML, and automation capabilities across the data lifecycle
  • Define and deliver the roadmap for a cloud-scale, governed data platform, reducing redundancy and improving overall data maturity
  • Support adoption of a data-as-a-product model with clear ownership, SLAs, and lifecycle management for curated data products
  • Partner closely with product, engineering, infrastructure, and downstream teams to ensure seamless integration and alignment across systems
  • Work with stakeholders to define architecture roadmaps, priorities, and investment decisions aligned to program goals
  • Drive performance, scalability, and reliability across applications, data pipelines, and workflows
  • Lead cost optimization initiatives, including compute, storage, and orchestration efficiency (FinOps practices)
  • Identify and mitigate risks related to scale, performance, cost, and system reliability
  • Evaluate emerging technologies and lead proof-of-concept initiatives to assess business value
  • Drive adoption of modern capabilities across cloud, data, and AI platforms
  • Mentor engineering and architecture teams, promoting best practices and strong technical decision-making
  • Provide guidance on solution design, workflow orchestration, and implementation approaches.

Requirements

What you’ll need
  • 12+ years of experience in architecture, engineering, or large-scale platform roles
  • Proven experience designing and delivering solutions in multi-cloud environments (Azure, AWS, GCP)
  • Strong expertise in modern data platforms, including Snowflake, Databricks, and data warehousing solutions
  • Hands-on background with large-scale data processing, integration, and analytics in complex environments
  • Deep understanding of: Data architecture (data warehousing, lakehouse, integration patterns)
  • Distributed systems and high-volume data processing
  • Cloud-native architecture and platform design.
  • Experience working with modern data ecosystems, including enabling AI/ML and advanced analytics capabilities
  • Strong experience in architecture governance, including design reviews, standards enforcement, and solution approvals
  • Proven ability to translate business and program requirements into scalable, practical technical solutions
  • Experience building scalable platforms, reusable frameworks, or shared services
  • Strong communication and stakeholder management skills, with the ability to influence across technical and business teams
  • Experience with cloud cost optimization and FinOps practices for large-scale environments
  • Exposure to AI/ML platform enablement and automation across the data lifecycle.

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

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Hard Skills & Tools
Architecture StrategySolution DesignData IntegrationData ProcessingAI/ML EnablementScalable Platform DevelopmentWorkflow OrchestrationData AnalyticsCloud-Native ArchitectureDistributed Systems
Soft Skills
Stakeholder ManagementCommunicationMentoringInfluencing