About the Role
IQVIA is seeking an exceptional Staff Software Engineer / Technical Lead to join the strategic Customer360 (C360) program, a high-visibility initiative designed to consolidate healthcare professional (HCP) data across clinical, scientific, and digital domains into a unified AI-ready platform. The platform powers intelligent data products, semantic search experiences, APIs, agentic AI solutions, and advanced customer insights across IQVIA.
As the senior technical leader for the Brazil engineering hub, you will help define the technical direction of the platform while remaining deeply hands-on in software development, data engineering, and machine learning solutions. You will play a critical role in designing and building the profile-matching and enrichment capabilities at the core of C360, helping unify complex datasets through machine learning, graph-based techniques, and modern data engineering practices.
This is a leadership role where technical excellence, architectural vision, and hands-on contribution are valued more highly than people management responsibilities. The ideal candidate is an engineer who can lead by example, mentor others, and actively contribute to the platform every day.
Key Responsibilities
- Lead the technical direction and architectural evolution of the C360 platform.
- Design and implement large-scale profile matching and entity resolution solutions.
- Build and optimize machine learning and graph-based matching algorithms.
- Develop and maintain large-scale ETL and data processing pipelines.
- Design scalable data services and microservices supporting core platform capabilities.
- Architect and implement data models supporting profile enrichment and intelligent search experiences.
- Build AI-ready services exposing data through APIs, MCP-based integrations, and agentic AI workflows.
- Collaborate with engineering leadership on platform strategy, scalability, and technical roadmaps.
- Mentor engineers across multiple experience levels and promote engineering best practices.
- Participate in code reviews, architecture reviews, and technical design discussions.
- Support the development of a self-sufficient engineering organization in Brazil.
- Contribute hands-on to software delivery, technical problem-solving, and critical platform initiatives.
Leadership Expectations
We are looking for a technical leader who:
- Is first and foremost a hands-on engineer.
- Leads through technical expertise and execution.
- Can mentor and guide engineers while remaining actively involved in development work.
- Understands both strategic architecture and day-to-day implementation details.
- Can influence technical decisions across the entire platform ecosystem.
- Is comfortable owning complex technical challenges from design through production delivery.
While leadership experience is valuable, this role prioritizes technical depth over traditional people management responsibilities.
Required Qualifications
Education
- Bachelor's degree or higher in Computer Science, Data Science, Software Engineering, Artificial Intelligence, or a related discipline.
Experience
- 7+ years of software engineering, data engineering, or machine learning experience.
- Demonstrated success designing and building complex data-intensive platforms.
- Experience operating at a Staff Engineer, Principal Engineer, or Technical Lead level.
- Experience leading technical initiatives across multiple engineering disciplines.
Required Technical Skills
Software Engineering & Architecture
- Expert-level Python development.
- Advanced knowledge of Microservices and Distributed Systems Architecture.
- RESTful API design and development.
- Platform architecture and systems design expertise.
- Experience building highly scalable software systems.
- Strong software engineering fundamentals and design patterns.
Data Engineering
- Apache Spark.
- ETL and Data Pipeline Design.
- Snowflake and/or Databricks.
- Large-scale data processing and transformation.
- Data modeling and data platform architecture.
- Experience designing federated data models and integration architectures.
Machine Learning & Graph Technologies
- Practical Machine Learning experience.
- Strong understanding of Machine Learning algorithms.
- Graph algorithms and graph-based problem solving.
- Entity Resolution and Profile Matching techniques.
- Data matching, enrichment, and identity resolution concepts.
- Experience applying ML techniques to real-world business challenges.
Cloud & Platform Technologies
- Azure or similar cloud platforms.
- Docker and Kubernetes.
- CI/CD practices and modern software delivery pipelines.
- Data platform design and cloud-native architecture concepts.
- Infrastructure fundamentals supporting large-scale applications.
Highly Desired Qualifications
Experience with any of the following is considered a significant advantage:
- Model Context Protocol (MCP)
- Agentic AI architectures
- Vector Databases
- Semantic Search and Semantic Layers
- Generative AI and LLM-based solutions
- Applied AI product development
- Graph Databases
- MLOps practices
- Pipeline orchestration technologies (Airflow or similar)
- Elasticsearch
- Infrastructure-as-Code (Terraform)
- Advanced Azure platform services
- React and Node.js full-stack development experience
Key skills
Successful candidates will be able to:
- Define and guide the technical vision of the Brazil engineering organization.
- Understand and influence the entire C360 ecosystem.
- Architect sophisticated profile matching and enrichment solutions.
- Drive engineering excellence while remaining hands-on.
- Mentor engineers and elevate team capabilities.
- Transition seamlessly between architecture, data engineering, machine learning, and software engineering tasks.
- Balance strategic thinking with practical execution.
- Leverage AI-assisted development tools while maintaining high engineering standards.
Why Join IQVIA?
- Lead the technical evolution of a strategic platform with executive visibility.
- Shape the future of AI-ready healthcare data solutions.
- Build next-generation machine learning, graph-based matching, and intelligent data products.
- Influence platform architecture across a global organization.
- Work with cutting-edge technologies including AI, ML, cloud-native architectures, and modern data platforms.
- Help establish and grow a new engineering hub in Brazil while maintaining hands-on impact at scale.
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 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.
Skills Required
- Bachelor's degree or higher in Computer Science, Data Science, Software Engineering, AI, or related discipline.
- 7+ years of software engineering, data engineering, or machine learning experience.
- Experience operating at Staff Engineer, Principal Engineer, or Technical Lead level.
- Expert-level Python development.
- Advanced knowledge of Microservices and Distributed Systems Architecture.
- RESTful API design and development.
- Platform architecture and systems design expertise.
- Experience building highly scalable software systems.
- Apache Spark.
- ETL and Data Pipeline Design.
- Snowflake and/or Databricks.
- Large-scale data processing and transformation.
- Data modeling and data platform architecture.
- Experience designing federated data models and integration architectures.
- Practical Machine Learning experience and strong understanding of ML algorithms.
- Graph algorithms and graph-based problem solving.
- Entity Resolution and Profile Matching techniques.
- Azure or similar cloud platform experience.
- Docker and Kubernetes.
- CI/CD practices and modern software delivery pipelines.
IQVIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IQVIA and has not been reviewed or approved by IQVIA.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical/dental/vision plus programs like telemedicine, EAP resources, and additional insurance options. Feedback suggests the health offering is a meaningful part of the overall rewards package, though details can vary by location and plan design.
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Retirement Support — Retirement benefits include an employer match structure that supports employee contributions through a defined formula. This adds steady long-term value to total rewards beyond base salary.
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Leave & Time Off Breadth — Time off offerings include vacation/paid time off, holidays, and flexibility themes, with some roles described as having discretionary or unlimited time-off models. This can make the package feel more attractive even when cash compensation is viewed as only mid-range.
IQVIA Insights
What We Do
IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. IQVIA creates intelligent connections across all aspects of healthcare through its analytics, transformative technology, big data resources and extensive domain expertise. IQVIA Connected Intelligence™ delivers powerful insights with speed and agility — enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients. With approximately 70,000 employees, IQVIA conducts operations in more than 100 countries. To learn more, visit www.iqvia.com.
