Join a global life science and healthcare company as a Senior Data Architect within the Data Assets, Analytics & AI organization.
In this role, you will help shape and develop data platforms, data products and analytics solutions supporting global Commercial, Marketing, Sales, CRM and eCommerce teams. You will combine data architecture, hands-on technical knowledge and technical leadership, translating business requirements into scalable, production-ready data solutions.
Key responsibilities
- Designing and developing end-to-end data architecture for global Commercial and Analytics solutions.
- Translating business requirements into scalable data platforms, data products and technical solutions.
- Defining and evolving data models, data integration architecture and data pipelines.
- Establishing and maintaining standards for data quality, governance, cataloguing and compliance.
- Promoting a Data as a Product mindset across data assets and products.
- Providing technical leadership and guidance to Data Engineering teams.
- Collaborating closely with business stakeholders, analysts and technology teams.
- Supporting the delivery of production-ready data solutions and ensuring high standards of reliability and scalability.
- Contributing to the evolution of the Azure Data Platform and modern data engineering practices.
- Supporting analytics and reporting solutions, including KPI modelling and analytics products.
Ideal candidate profile
- Minimum 5 years of experience in Data & Analytics as a Senior Data Architect, Lead Data Architect or Principal Data Engineer.
- Strong experience in data architecture, data modelling and data integration.
- Hands-on experience with data pipelines and modern data engineering solutions.
- Knowledge of data quality management, data governance, data cataloguing and data compliance.
- Understanding of the Data as a Product mindset.
- Strong commercial experience with Azure Data Factory and Azure Databricks.
- Strong knowledge of SQL and Python.
- Experience in leading or coordinating Data Engineering teams.
- Experience working directly with business stakeholders and translating business requirements into technical solutions.
- Good understanding of GitHub, GitHub Actions, CI/CD, version control, pull requests and code reviews.
- Understanding of software development and DevOps practices in a production data engineering environment.
Nice to Have:
- Experience in a FMCG, CPG, Consumer Health or other commercial environment
- Experience with Snowflake.
- Experience with Azure DevOps.
- Knowledge of Power BI or Tableau beyond basic reporting.
- Experience with advanced analytics or AI-enabled data solutions.
Conditions
- Location: Warsaw
- Work model: Hybrid (to be agreed)
- Contract type: Employment contract (UoP)
- Salary: PLN 20,000–25,000 gross PLN/month+ annual bonus
- Benefits: Private medical care, benefits supporting leisure and sports activities, life insurance, company car or car allowance, and more.
Recruitment steps
- Phone call with a recruiter (20 min)
- Technical interview with the client
- Decision and feedback