Senior Data Architect (Warszawa, Mazowieckie, PL)

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.

Senior Data Architect

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 monthly 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

- Company car provided (as a working Benefit)

- Extra Paid Holidays

Benefits may vary depending on country, role, and employment conditions.

For Digital Hub Warsaw, we are looking for:

As a Senior Data Architect for FAIR data enablement in R&D, 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. You will work closely together with scientists, knowledge engineers, and domain experts to enable FAIR data. Your work will directly enable secondary data use, self-service analytics, and agentic AI capabilities in a highly innovative scientific environment.

Key Tasks & 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, enabling findability of data in compliance to legal and regulatory requirements.

Collaborate closely with relevant stakeholders in an agile setup to capture, specify and address data-related requirements and dependencies to ensure a fit-for-purpose technical implementation in a healthy data ecosystem.

Embrace FAIR Data Principles and Linked Data standards to promote a data culture that shifts from siloed thinking to networked, democratized data use that enables efficient, compliant, and secure data consumption by humans, systems, and AI agents within and beyond the primary data context.

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 spanning both long-term ambition and near-term execution to maintain a coherent, consolidated and scalable data landscape, ensuring that data needs and compliance requirements are met within the broader Bayer data ecosystem.

Design and implement appropriate measure to protect data from unauthorized access, corruption, or theft, ultimately ensuring confidentiality, integrity, and availability of data to maintain trust in data and prevent legal, operational, regulatory and financial risks.

Active enterprise architecture thinking and alignment of data initiatives with business, digital, and IT strategies to ensure the respective needs are addressed most efficiently and effectively.

Qualifications and Competencies 

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 Ability to integrate data from source systems using various interface patterns, such as OpenSharing/Delta Sharing, Iceberg-Sharing, ODBC, GraphQL, OData, REST, or event streaming

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, with demonstrated ability to apply them in practice

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 (e.f. RDF, OWL, SHACL, SPARQL, TopBraid EDG)

Familiarity with information retrieval systems such as Elasticsearch

Familiarity with Data Governance solutions (e.g. Collibra)

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.)

YOUR APPLICATION       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.

Location: Poland : Mazowieckie : Warszawa      Division:  PH   Reference Code: 894556

Location:

Poland : Mazowieckie : Warszawa

Division:

PH

Reference Code:

894556