Sr Data Architect - Commercial

At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations. The minimum annual gross compensation for this role is 20 240 PLN, with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.

This position is eligible for variable pay components, such as performance‑based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.

In addition, Bayer offers a competitive and holistic benefits package, including:

- Medical care above statutory requirements

- Flexible benefits supporting leisure, and well‑being/sports programs

- Life, accident, and disability insurance through group coverage

- Employer‑supported pension plans with regular company contributions

- Home office allowance to support hybrid or remote work

- Extra Paid Holidays

Benefits may vary depending on country, role, and employment condition


For Digital Hub Warsaw, we are looking for:

Senior Data Architect

The Data Assets,Analytics & AI department at Bayer Consumer Health focuses on enabling digital transformation by creating best in class analytical solutions, enabling data-driven decision making and performance optimization for Bayer’s Consumer Health organization.

You will be part of the global data assets, analytics and AI platform and responsible to technically guide projects in the area of Data & Analytics. You partner with business stakeholders, data scientists, analytics leads, data & platform architects and engineers as well as implementation partners/vendors and are the technical lead for scalable Core Data Assets / Data Products. You ensure proper data management, data ingestion, data pipeline orchestration as well as serving of data for analysts. If you are interested in joining a young and dynamic team driving the digital transformation of Bayer Consumer Health, we would like to hear from you.

Zakres obowiązków

• Own & lead technical implementation and management of well-integrated, enriched, and re-usable data models and analytics products.
• Collect and manage data requirements of data consumers, translate them into technical concepts considering re-usability & cost efficiency, and partner with data providers
• Ensure that best-practice data management and quality assurance processes are defined and applied and continuously enhance implementation frameworks based on the needs.
• Collaborate with other data architects (e.g. responsible for Commercial or Core Data Assets), analytics leads, data scientists in order to reuse data and ensure sustainable pipelines and analytical products are built.
• Collaborate with business functions (global & regional business stakeholders) and other IT teams (core data asset architects, analytics teams, data science teams, platform product managers & integration architects) to ensure delivery in line with value, business priorities and IT objectives.
• Lead the integration of different data sources in order to develop globally harmonized data models & KPIs meeting the market requirements
• Steer delivery teams, mainly data and bi engineers (internal and external), provide cost and time estimations, challenge effort estimations and assure high quality delivery & proper testing of delivery teams as well as vendor implementations & proper handover to support.
• Contribute to best-practice exchange in our data architecture chapter, contribute to the continuous enhancement of data analytics technology stack by providing feedback and explaining requirements of projects in your responsibility.

Wymagania

Qualifications & Competencies (education, skills, experience):

• Bachelor/Master degree in Computer Science, Engineering, or similar
• 5+ years' working experience in the field of Data & Analytics, preferably in the CPG industry.
• Excellent data architecture & technology knowledge and data engineering skills in spark-based data processing solutions (tech stack: Azure Data Factory, Azure Databricks, SQL, Python, Snowflake is nice to have).
• Proficient in data modeling techniques with a strong capability to mentor and support data engineers in best practices and implementation strategies.
• Profound knowledge in reporting solutions such as Tableau or PowerBI, and data management knowhow (data cataloguing, data quality management, data compliance management)
• Profound in GitHub ecosystem including the VCS, GitHub Actions for CI/CD and working with tickets/issues and pull requests. Understanding of Azure Dev/ops is a plus. Experience in delivering data as a product and in leading data engineering teams.
• Knowhow about data from commercial domains (CRM, eComm, Sell-Out etc.)
• Experience in applying Agile methodologies (Scrum, Kanban).
• Strong problem solving and analytical skills, combined with impeccable business judgement. Interpersonal and communication skills, active listening, consulting and presentation skills
• Fluent in English, both written & spoken, intercultural awareness (Europe, US, India) and willingness to travel occasionally

Tech stack

• Python
• Azure Data Factory
• Azure Cloud
• Databricks