Senior Data Architect

PROJECT INFORMATION:

• Industry: Pharmaceutical

• Work model: hybrid in Warsaw (1/month)

• Remuneration: approx. 50 EUR/h netto + VAT (B2B) (We are open to hearing your expectations)

• Start: ASAP

Summary:

The main function of the Senior Data Architect role is to drive the digital transformation initiatives at Bayer Consumer Health by developing and managing analytical solutions, ensuring that data-driven decision-making is enabled throughout the organization.

Responsibilities:

• Own & lead technical implementation and management of well-integrated, enriched, and reusable data models and analytics products.

• Collect and manage data requirements from data consumers and translate them into technical concepts, considering re-usability & cost efficiency.

• Define and apply best-practice data management and quality assurance processes while enhancing implementation frameworks based on needs.

• Collaborate with various stakeholders—including data architects, analytics leads, and data scientists—to ensure sustainable pipelines and analytical products.

• Work with business functions and IT teams to ensure the delivery aligns with business priorities.

• Lead the integration of data sources to develop globally harmonized data models & KPIs.

• Steer teams of data and BI engineers, ensuring high-quality delivery and proper testing.

• Contribute to best-practice exchanges and continuous enhancement of the data analytics technology stack.

Key Requirements:

• Bachelor/Master degree in Computer Science, Engineering, or similar.

• 5+ years of working experience in Data & Analytics, preferably in the CPG industry.

• Excellent data architecture & technology knowledge with skills in Spark-based data processing solutions.

• Proficient in data modeling techniques and mentoring data engineers.

• Profound knowledge in reporting solutions (Tableau, PowerBI) and data management.

• Experience with GitHub ecosystem and CI/CD practices.

• Fluent in English, with good interpersonal and communication skills.

Nice to Have:

• Experience in cloud solutions like Azure Data Factory and Azure Databricks.

• Knowledge of commercial domain data (CRM, eComm, Sell-Out).

• Familiarity with Agile methodologies (Scrum, Kanban).