We are seeking a Director of Architecture to lead architecture strategy and solution design for a large-scale, business-critical data and platform transformation program. This role will play a key leadership position in shaping scalable, secure, and high-performing solutions across a complex multi-cloud environment (Azure, AWS, GCP).

The Director will partner closely with business and technology leaders to align architecture with program goals, guide solution delivery, and ensure consistency across multiple workstreams and platforms. You will work across a diverse ecosystem of data, applications, and integration layers—driving architectural direction for modern data platforms (Snowflake, Databricks) and enabling advanced analytics and AI capabilities. This is a highly visible role requiring a balance of hands-on architectural expertise, program-level leadership, and strong stakeholder engagement.

Job Description

Lead architecture strategy and governance across a large-scale, multi-cloud data and platform programDefine and drive architecture standards, patterns, and best practices to ensure consistency, scalability, and reusability across solutionsOversee end-to-end solution architecture across complex environments (Azure, AWS, GCP), guiding teams in designing scalable and resilient systemsTranslate business and program requirements into practical, high-quality architecture and technical solutionsLead design reviews and ensure alignment with agreed architectural patterns and standardsDrive the design and evolution of modern data platforms using technologies such as Snowflake, Databricks, and lakehouse/data mesh architecturesArchitect data warehousing, data integration, and analytics solutions supporting high-volume, large-scale data processingEnable advanced analytics, AI/ML, and automation capabilities across the data lifecycleDefine and deliver the roadmap for a cloud-scale, governed data platform, reducing redundancy and improving overall data maturitySupport adoption of a data-as-a-product model with clear ownership, SLAs, and lifecycle management for curated data productsPartner closely with product, engineering, infrastructure, and downstream teams to ensure seamless integration and alignment across systemsWork with stakeholders to define architecture roadmaps, priorities, and investment decisions aligned to program goalsDrive performance, scalability, and reliability across applications, data pipelines, and workflowsLead cost optimization initiatives, including compute, storage, and orchestration efficiency (FinOps practices)Identify and mitigate risks related to scale, performance, cost, and system reliabilityEvaluate emerging technologies and lead proof-of-concept initiatives to assess business valueDrive adoption of modern capabilities across cloud, data, and AI platformsMentor engineering and architecture teams, promoting best practices and strong technical decision-makingProvide guidance on solution design, workflow orchestration, and implementation approaches

Qualifications

12+ years of experience in architecture, engineering, or large-scale platform rolesProven experience designing and delivering solutions in multi-cloud environments (Azure, AWS, GCP)Strong expertise in modern data platforms, including Snowflake, Databricks, and data warehousing solutionsHands-on background with large-scale data processing, integration, and analytics in complex environmentsDeep understanding of:Data architecture (data warehousing, lakehouse, integration patterns)Distributed systems and high-volume data processingCloud-native architecture and platform designExperience working with modern data ecosystems, including enabling AI/ML and advanced analytics capabilitiesStrong experience in architecture governance, including design reviews, standards enforcement, and solution approvalsProven ability to translate business and program requirements into scalable, practical technical solutionsExperience building scalable platforms, reusable frameworks, or shared servicesStrong communication and stakeholder management skills, with the ability to influence across technical and business teamsExperience with cloud cost optimization and FinOps practices for large-scale environmentsExposure to AI/ML platform enablement and automation across the data lifecycle

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $119,900.00 - $334,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.