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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

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading architecture strategy and governance for large-scale, multi-cloud data platforms, with a focus on modern data solutions, scalability, and advanced analytics capabilities. Proven ability to translate complex business requirements into practical architectural designs while ensuring alignment with governance standards and best practices.

Highest-signal resume keywords
Multi-Cloud Architecture (Azure, AWS, GCP)Modern Data Platforms (Snowflake, Databricks)Data Architecture (Data Warehousing, Lakehouse)Architecture Governance and Standards EnforcementCloud Cost Optimization (FinOps Practices)

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Hard Skills
Architecture StrategySolution DesignData IntegrationData ProcessingAI/ML EnablementScalable Platform DevelopmentWorkflow OrchestrationData AnalyticsCloud-Native ArchitectureDistributed Systems
Soft Skills
Stakeholder ManagementCommunicationMentoringInfluencing
Tools & Technologies
SnowflakeDatabricksCloud Platforms (Azure, AWS, GCP)Data Mesh ArchitecturesLakehouse Architectures
Industry Keywords
Data GovernanceArchitecture StandardsHigh-Volume Data ProcessingData-as-a-Product ModelAutomation

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