Lead Data Architect

Bayer CropScience Limited; Warszawa; On-site; PLN 262,000 - 313,000; Full time

Benefits offered by this job

Medical care above statutory_require

Flexible benefits supporting leisure,\

Life, accident, and disability保险

Employer-supported pension plans

Home office allowance

Extra Paid Holidays

Job summary

Bayer is seeking a Lead Data Architect for the Digital Hub Warsaw to shape the data architecture from discovery through preclinical development.

The role focuses on connecting data, platforms, and processes to enable faster, better decisions and scalable digital solutions. You will work with business and IT partners to drive a clear architectural vision.

Qualifications

• Bachelor's degree in Computer Science or a related field.
• Experience designing and implementing data models (conceptual, logical, physical).
• Experience with relational databases such as PostgreSQL and lakehouse tech like Databricks.

Responsibilities

• Design data models and metadata systems.
• Provide oversight to other data architects and ensure data artefacts meet standards.
• Design and support data dictionaries and governance initiatives.
• Collaborate with architects and engineers to align data architecture with business goals.
• Communicate technical concepts to non-technical stakeholders and drive architectural vision.

Skills

Data architecture

Data modeling

SQL

Cloud platforms

Data governance

ETL

GenAI for data pipelines

LLM for mapping and annotation

Education

Bachelor’s degree in Computer Science or related field

Tools

PostgreSQL

Lakebase

Databricks

Unity

Spark

Lake Formation

Job description

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 25 760 PLN gross 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 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 enable 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.

Major Tasks

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.

Key Responsibilities & Outputs

• 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.
• Experience designing and implementing data models (conceptual, logical, physical).
• Experience with relational databases (e.g., PostgreSQL, Lakebase).
• Experience with lakehouse technologies (e.g., Databricks, Unity, Spark, Lake Formation).
• Familiarity with agentic tools and processes: GenAI for data pipeline code, LLM for mapping and annotation.
• Experience with ETL tools and processes; strong SQL and scripting skills.
• Experience with cloud platforms; knowledge of data governance principles and best practices.

Location: Poland : Mazowieckie : Warszawa

Division: PH DI

Reference Code: 878223