Principal Product Architect at IQVIA

Warsaw, Masovian Voivodeship, Poland

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

10+ years of experience in software architecture, with 5+ years in data-centric domains, including designing and delivering enterprise data platforms
Excellent communicator and collaborator
Excellent mentorship and leadership skills
Expertise in data architecture patterns (e.g., lakehouse, data mesh, ELT/ETL)
Strong understanding of APIs, integration, and metadata exchange
Experience in system modeling with languages such as ArchiMate, C4 Model, and UML
Strong understanding of DevOps, CI/CD, containerization (Docker, Kubernetes)
Hands-on experience with cloud-native data services (Azure preferable) and big data technologies
Understanding of domain driven design, microservices
Strong SQL-based data experience
Strong experience in one of the following areas: Collecting data from a huge range of sources and formats and establishing common data standards; Designing data delivery systems for multiple clients and technologies with varied business rules; Developing enterprise data platforms to standardize and harmonize data from multiple sources for analysis; Building enterprise solutions for managing global and local master and reference data
Skills and experience in enterprise and software architecture, data management solutions, data warehouses, big data technologies, delivery, and healthcare
Experience with data technologies and the ability to align technical vision with business objectives

Responsibilities

Own the technical architecture roadmap for products, technical capabilities, and nonfunctional requirements as architecture lead of one of four Product Domains (Data Collection, Data Acquisition, Data Warehousing, Data Provisioning)
Define technical strategies and execute with a team of Product Directors, Product Managers, and Architects
Assist the Product Strategy and Management organization in defining strategies, roadmaps, and plans to consolidate the company’s solutions and manage investment
Lead the design of end-to-end solutions, including system integration, data flow, infrastructure, and advise on optimizing data operations on transactional and big data workloads
Collaborate with product directors, product managers, and business stakeholders to gather requirements and features and translate these into solution designs
Work with engineering teams to translate business needs into technical solutions
Align technical roadmap with enterprise architects and data platform strategy
Stay current with new trends and emerging technologies, identifying opportunities to incorporate AI features and assess ways to enhance existing systems
Evaluate potential adoption of new technologies
Contribute to development of product investment plans, resource allocation, and long-term technical forecasts
Lead estimation processes

Skills

Key technologies and capabilities for this role

Enterprise ArchitectureSoftware ArchitectureData ManagementData WarehousingBig Data TechnologiesSystem IntegrationData FlowInfrastructureAIHealthcare

Questions & Answers

Common questions about this position

What experience level is required for the Principal Product Architect role?

The role requires 10+ years of experience in software architecture, with 5+ years in data-centric domains, including designing and delivering enterprise data platforms.

What key technical skills are needed for this position?

Expertise in data architecture patterns (e.g., lakehouse, data mesh, ELT/ETL), strong understanding of APIs, integration, metadata exchange, system modeling with ArchiMate, C4 Model, UML, DevOps, CI/CD, containerization (Docker, Kubernetes), cloud-native data services (Azure preferable), big data technologies, domain driven design, microservices, and strong SQL-based data experience are required.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What soft skills or qualities make a strong candidate for this role?

Excellent communicator and collaborator skills, along with excellent mentorship and leadership skills, are essential for success in this architecture lead position.

IQVIA

Advanced analytics and clinical research services

About IQVIA

IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.

Durham, North CarolinaHeadquarters

1998Year Founded

$3,526MTotal Funding

POST_IPO_EQUITYCompany Stage

Cybersecurity, Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Rapid advancement of cancer vaccines may disrupt traditional clinical research models.

Proliferation of disparate technological solutions causes technology overload in clinical trials.

Generative AI technologies face challenges in adoption due to data privacy concerns.

Differentiation

IQVIA leverages advanced analytics and big data for life sciences solutions.

The company offers privacy-enhancing technologies to protect individual patient data.

IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.

Upsides

Increased adoption of decentralized clinical trials enhances patient-centric study designs.

AI-driven drug discovery accelerates identification of potential drug candidates.

Expansion of telemedicine facilitates remote patient monitoring and data collection.

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