Data Architect
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 2900 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 the enterprise data architecture and roadmap, translating the Data Strategy and business needs into architectural principles, standards and technology solutions.
- Design scalable and secure data architectures, models and integration patterns across ingestion, storage, transformation, analytics and AI, leveraging Microsoft Azure, Synapse and Fabric.
- Ensure data quality, performance, interoperability, security and scalability,
identifying architectural risks, vulnerabilities and optimization opportunities.
- Lead the architectural governance of data initiatives, reviewing solution designs and technology choices while minimizing customization and technical debt.
- Coordinate business stakeholders, external partners and vendors, ensuring solution quality and alignment with architectural and security standards.
- Act as a senior technical reference, supporting strategic initiatives and coordinating Data Science activities related to business process optimization.
- Contribute hands-on to implementation, configuration, prototyping and troubleshooting of 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 experience in Data, Analytics or Architecture, with proven experience as Data Architect, Solution Architect or Data Engineer/Architect.
- Fluency in English and proven ability to work effectively in an international and multicultural environment.
- Experience designing enterprise-scale data architectures and translating business requirements into technical solutions.
- Solid project planning,
prioritization and stakeholder management skills.
- Strong expertise in the Microsoft data ecosystem, particularly Azure, Microsoft Fabric, Data Factory, Data Lake, Synapse, SQL and Power BI.
- Strong knowledge of cloud data architectures, Lakehouse, data warehouse, data modelling, APIs, ETL/ELT and data pipelines.
- Knowledge of Data Governance, Data Quality, Metadata, Lineage, Master Data, security and privacy principles.
- Understanding of architectures supporting Machine Learning, AI and Generative AI.
- Experience with SAP 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.
Competencies
- Strong analytical and problem-solving skills, with the ability to connect business strategy, Data Strategy and technology.
- Effective communication and senior stakeholder management skills.
- Pragmatic and collaborative approach, focused on scalability, simplification, reuse and maintainability.
Nice to Have
- Experience in pharma/life sciences or regulated environments.
- Hybrid/multi-cloud experience.
- Microsoft/Azure or DAMA certifications.
Applicable CBA: CCNL Chimico Farmaceutico
Salary range: €65.000 - €75.000 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.
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 the enterprise data architecture and roadmap, translating the Data Strategy and business needs into architectural principles, standards and technology solutions.
- Design scalable and secure data architectures, models and integration patterns across ingestion, storage, transformation, analytics and AI, leveraging Microsoft Azure, Synapse and Fabric.
- Ensure data quality, performance, interoperability, security and scalability,
identifying architectural risks, vulnerabilities and optimization opportunities.
- Lead the architectural governance of data initiatives, reviewing solution designs and technology choices while minimizing customization and technical debt.
- Coordinate business stakeholders, external partners and vendors, ensuring solution quality and alignment with architectural and security standards.
- Act as a senior technical reference, supporting strategic initiatives and coordinating Data Science activities related to business process optimization.
- Contribute hands-on to implementation, configuration, prototyping and troubleshooting of 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 experience in Data, Analytics or Architecture, with proven experience as Data Architect, Solution Architect or Data Engineer/Architect.
- Fluency in English and proven ability to work effectively in an international and multicultural environment.
- Experience designing enterprise-scale data architectures and translating business requirements into technical solutions.
- Solid project planning,
prioritization and stakeholder management skills.
- Strong expertise in the Microsoft data ecosystem, particularly Azure, Microsoft Fabric, Data Factory, Data Lake, Synapse, SQL and Power BI.
- Strong knowledge of cloud data architectures, Lakehouse, data warehouse, data modelling, APIs, ETL/ELT and data pipelines.
- Knowledge of Data Governance, Data Quality, Metadata, Lineage, Master Data, security and privacy principles.
- Understanding of architectures supporting Machine Learning, AI and Generative AI.
- Experience with SAP 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.
Competencies
- Strong analytical and problem-solving skills, with the ability to connect business strategy, Data Strategy and technology.
- Effective communication and senior stakeholder management skills.
- Pragmatic and collaborative approach, focused on scalability, simplification, reuse and maintainability.
Nice to Have
- Experience in pharma/life sciences or regulated environments.
- Hybrid/multi-cloud experience.
- Microsoft/Azure or DAMA certifications.
Applicable CBA: CCNL Chimico Farmaceutico
Salary range: €65.000 - €75.000 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.