Senior Data Architect
Primary stack
Job description
About the Position
At Bayer, we believe work should matter. Every day, our teams push toward a future where "Health for all, Hunger for none" is within reach, and every role, from the lab to the field to the boardroom, helps us get there. We give people the ownership to shape outcomes, the support to grow through new skills and experiences, and a global community where different perspectives are valued. If you want your work to count and the room to become your best, you'll find it here.
We are currently seeking a Senior Data Architect for FAIR data enablement in R&D to join our Digital Hub in Warsaw, Poland. In this role, you will connect data across the whole pharma value chain with a focus on Research & Development, empowering scientists, analysts, and AI agents with fast and easy-to-access high-quality data.
Responsibilities
- Lead the design and implementation of fit-for-purpose data solutions to integrate, unify, and synchronize data across systems in R&D and beyond, ensuring compliance with legal and regulatory requirements.
- Collaborate closely with relevant stakeholders in an agile setup to capture, specify, and address data-related requirements and dependencies.
- Embrace FAIR Data Principles and Linked Data standards to promote a data culture that shifts from siloed thinking to networked, democratized data use.
- Mentor and coach less-experienced colleagues and uphold high standards in requirements specification, engineering practices, code review, testing, and documentation.
- Drive cross-team alignment on data and knowledge architecture decisions to maintain a coherent, consolidated, and scalable data landscape.
- Design and implement appropriate measures to protect data from unauthorized access, corruption, or theft, ensuring confidentiality, integrity, and availability of data.
- Engage in active enterprise architecture thinking and align data initiatives with business, digital, and IT strategies.
Requirements
Required:
- Bachelor’s Degree in computer science, information science, knowledge engineering, computational linguistics, or a related field, or equivalent practical experience.
- Proficiency in designing and implementing data models (conceptual, logical, and physical).
- Proficiency with relational and graph databases.
- Extensive experience with API design patterns and the ability to integrate data from source systems using various interface patterns.
- Strong engineering skills (data engineering, software engineering, or cloud engineering).
- Proficiency in at least one programming language, along with basic Git version control practices.
- In-depth knowledge of FAIR Data Principles, Linked Data principles, and Data Mesh architecture concepts.
- Proficiency with data governance and security principles and practices.
- Strong analytical and communication skills.
- Ability to work collaboratively in a team environment.
- High level of accuracy and attention to detail.
Preferred:
- Experience with semantic layer concepts in modern data platforms such as Databricks, Snowflake, or Microsoft Fabric.
- Familiarity with Enterprise Architecture and Domain Data Modelling.
- Knowledge of ontologies and taxonomies with proficiency in Semantic Web technologies, standards, and tools.
- Familiarity with information retrieval systems such as Elasticsearch.
- Familiarity with Data Governance solutions.
- Experience designing and implementing Model Context Protocol (MCP) servers.
- Hands-on experience with GraphRAG solution design and implementation.
- Skills in knowledge retrieval from unstructured data sources.
- Understanding of data security principles and practices.
- Knowledge of data privacy regulations (e.g., GDPR, CCPA).
- Foundational cloud engineering experience (e.g., AWS, Azure).
- Familiarity with CI/CD practices, for example using GitHub Actions.
- Knowledge in the pharmaceutical domain (e.g., LOINC, SNOMED CT, omics, targets, assays, clinical studies, RWE, etc.).
We Offer
- Competitive salary starting at 20 240 PLN per month, with final pay determined based on experience, qualifications, scope of responsibility, and internal alignment.
- Variable pay components, such as performance-based bonuses.
- 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.
- Company car provided (as a working benefit).
- Extra paid holidays.
About the Company
Bayer is committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations. Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression, or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office, or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager. Bayer respects and applies the Whistleblower Act in Poland.
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