Lead 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 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 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 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. Major TasksIndividuals 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 & OutputsCommunicating 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 RelationsProduct ManagersUX DesignersData ScientistsData ArchitectsData EngineersData StewardsEnterprise ArchitectsSoftware EngineersRelevant business leaders and stakeholdersContractors Qualifications, Competencies & Skills RequiredBachelor’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.