Lead Data Architect

Bayer AG; Warszawa; Hybrid; PLN 262,000 - 313,000; Full time

Benefits offered by this job

Medical care above statutory

Flexible benefits

Life, accident, and disability ins.

Pension plans with company matches

Home office allowance

Job summary

Bayer AG in Warsaw is seeking a Lead Architect for Pharma Preclinical Data Intelligence to shape the data landscape, enabling faster, better decision‑making from discovery through early development.

You will translate business strategy into scalable digital solutions, connecting data, platforms and processes to de‑risk decisions and boost productivity. Hybrid work is supported.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, IT or related field.
• Relational databases, e.g. PostgreSQL, Lakebase.
• Lakehouse technologies such as Databricks, Unity, Spark, Lake Formation.
• GenAI for data pipeline code and LLM for mapping/annotation.
• ETL tools; strong SQL and scripting.
• Cloud platforms and data governance principles (AWS).

Responsibilities

• Design data models and metadata systems for enterprise use.
• Provide oversight and guidance to other data architects.
• Design and manage data dictionaries and governance artifacts.
• Align data architecture with architectural standards and council guidance.
• Collaborate with architects and engineers to ensure proper data design.
• Communicate with stakeholders; bridge technical and non‑technical audiences.
• Lead data modeling, standards, governance, and strategic data initiatives.

Skills

Strong SQL

Scripting

Analytical thinking

Communication

Team collaboration

Education

Bachelor's degree in Computer Science

Data Engineering or IT-related field

Tools

PostgreSQL

Lakehouse technologies (Databricks, Unity, Spark, Lake Formation)

GenAI for data pipelines

LLM mapping/annotation

ETL tools

AWS cloud

Job description

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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 monthlygross compensation for this role is 25 760 PLN grosswith final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment. This position is eligible forvariable 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

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

For Digital Hub Warsaw, we are looking for:

Lead Data Architect

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ‘Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

As Lead Architect for Pharma Preclinical Data Intelligence, you will shape the technology architecture that enables better, faster decision‑making from discovery through early development. In this role, you will help translate business strategy into scalable digital solutions that support high‑quality data insights. By connecting data, platforms, and processes, you will contribute directly to our mission to de‑risk decisions and increase productivity across preclinical development. You will work closely with business and IT partners to define a clear architectural vision and drive its implementation.

Individuals in this role will:

• Design data models and metadata systems
• Help principal data architects interpret an organization’s needs
• Provide oversight and advice to other data architects designing and producing data artefacts
• Design and support the management of data dictionaries
• Ensure teams work to the standards set by principal data architects and in alignment with Architectural Council guidance
• Work with other architects and engineers so systems are designed in accordance with the appropriate data architecture
• Communicating Between Technical and Non-Technical Colleagues— Interpret stakeholder needs, manage expectations, handle active/reactive communication, and host difficult discussions with diverse senior stakeholders
• Communicating Data— Choose the appropriate media and shape communications for the audience
• Data Analysis and Synthesis— Undertake data profiling and source‑system analysis; present clear insights
• Data Governance— Evolve and define governance; assure and integrate data services across multiple business services
• Data Innovation— Understand the organizational impact of emerging trends in data tools, techniques, and usage
• Data Modeling— Produce models across multiple subject areas; apply industry-recognized patterns; compare and align models
• Data Standards— Set standards across subject areas; act as escalation point for breaches
• Metadata Management— Design metadata repositories, evaluate tools, and advise less experienced team members
• Problem Management— Coordinate the team to investigate, resolve, and prevent problems
• Strategic Thinking— Communicate how activities meet strategic goals; contribute to strategy and policy
• Turning Business Problems Into Data Design— Design architecture spanning business areas, link problems into common solutions, and produce appropriate patterns

Key Working Relations

Product Managers, UX Designers, Data Scientists, Data Architects, Data Engineers, Data Stewards, Enterprise Architects, Software Engineers, Relevant business leaders and stakeholders, Contractors

Qualifications, Competencies & Skills

Required

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field
• Relational databases (e.g., PostgreSQL, Lakebase)
• Lakehouse technologies (e.g. Databricks, Unity, Spark, Lake formation)
• Agentic tools and processes: GenAI for data pipeline code, LLM for mapping and annotation
• ETL tools and processes; strong SQL and scripting
• Cloud platforms; data governance principles and best practices (AWS)

Preferred

• Proven experience building service oriented, event driven solutions
• Industry experience Life Sciences / Pharma: Early Development, Pre-clinical, DMTA
• Strong analytical and communication skills; collaborative team player
• High accuracy and attention to detail
• Demonstrated experience leading a team of data and software professionals from multiple teams / suppliers
• Ability to align data architecture with business objectives & enterprise architecture standards; strong decision‑making skills
• Controlled data management; data security principles; data privacy regulations; (e.g., GxP ,GDPR, CCPA)