Zambon is a multinational pharmaceutical and chemical company focused on innovation and development to improve people's health and patients' lives.
Based on a valuable heritage but strongly focused on the future, its Purpose is "Advancing cure with care, opening health to life possibilities".
Zambon operates in the pharmaceutical and chemical business and is present in 20 countries with subsidiaries in three different Continents – Europe, America, and Asia – and over **** employees, with manufacturing units in Italy, Switzerland, France, China, and Brazil.
Zambon products are commercialized in 84 countries.
The company is working on treating specialties and rare diseases, such as Parkinson's disease and Cystic Fibrosis, and is well-established in 3 therapeutic areas: respiratory, pain, and women's care.
Role Overview and Responsabilities
The Data Architect will define and evolve the company's enterprise data architecture, translating business needs into scalable, secure and integrated solutions, with a strong focus on the Microsoft ecosystem.
This is a hands-on role combining architectural strategy with solution implementation, prototyping and technical troubleshooting.
Define and evolve theenterprise data architecture and roadmap, translating the Data Strategy and business needs into architectural principles, standards and technology solutions.
Designscalable and secure data architectures, models and integration patterns across ingestion, storage, transformation, analytics and AI, leveraging Microsoft Azure, Synapse and Fabric.
Ensuredata quality, performance, interoperability,



security and scalability, identifying architectural risks, vulnerabilities and optimization opportunities.
Lead thearchitectural governanceof data initiatives, reviewing solution designs and technology choices while minimizing customization and technical debt.
Coordinatebusiness stakeholders, external partners and vendors, ensuring solution quality and alignment with architectural and security standards.
Act as asenior technical reference, supporting strategic initiatives and coordinating Data Science activities related to business process optimization.
Contributehands-on to implementation, configuration, prototyping and troubleshootingof data solutions and pipelines across Azure and Microsoft Fabric.
What we are looking for
Degree in Computer Science, Engineering, Information Systems or related fields.
10+ years of experiencein Data, Analytics or Architecture, with proven experience as Data Architect, Solution Architect or Data Engineer/Architect.
Fluency inEnglishand proven ability to work effectively in an international and multicultural environment.
Experience designingenterprise-scale data architecturesand translating business requirements into technical solutions.
Solid project planning,



prioritization and stakeholder management skills.
Strong expertise in theMicrosoft data ecosystem, particularly Azure, Microsoft Fabric, Data Factory, Data Lake, Synapse, SQL and Power BI.
Strong knowledge ofcloud data architectures, Lakehouse, data warehouse, data modelling, APIs, ETL/ELT and data pipelines.
Knowledge ofData Governance, Data Quality, Metadata, Lineage, Master Data, security and privacyprinciples.
Understanding of architectures supportingMachine Learning, AI and Generative AI.
Experience withSAP and Salesforce integration.
Govern technology vendors, challenging solutions, estimates and technical choices to ensure quality and architectural alignment
Working with Security teams to assess and address vulnerabilities and risks in line with applicable pharmaceutical-industry requirements.
Strong analytical and problem-solving skills, with the ability to connectbusiness strategy, Data Strategy and technology.
Effective communication and senior stakeholder management skills.
Pragmatic and collaborative approach, focused onscalability, simplification, reuse and maintainability.
Nice to Have
Experience inpharma/life sciences or regulated environments.
Microsoft/Azure or DAMA certifications.
Salary range: €****** - €****** gross per year
Variable pay: Eligible for MBO
We believe in a fair selection process based on skills and potential, ensuring equal opportunities for all individuals, regardless of gender, age, origin, orientation, or ability.
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