Lead Data Architect

25.8k - 32.2k PLN25 760 - 32 200 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

SeniorHybryda·WarszawaFull-time·Umowa o pracę

#473232·Dodano 2 dni temu·2

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Databricks

Podsumowanie oferty

As part of Bayer’s Data & AI Team, you will lead the technical design and implementation of GxP-validated data solutions for clinical studies in the Clinical Data Lakehouse. The solutions provide timely, high-quality data to scientists, analysts, and AI agents.

Wymagania

Bachelor’s degree in computer science, information science, knowledge engineering, computational linguistics, data engineering, information technology, or a related field.
5+ years of experience in data architecture or a similar role, with leadership in designing and delivering production-grade data pipelines and services.
Strong ownership of deliverables, high standards for code review and peer mentorship, and commitment to clear documentation, metadata and lineage publishing, and sustainable data engineering practices.
Proficiency designing and implementing conceptual, logical, and physical data models.
Proficiency with Databricks, including DBX Asset Bundles, Lakeflow Jobs, Unity Catalog, access control and governance models, and Databricks CLI.
Extensive experience with API design patterns and integrating source-system data using OpenSharing/Delta Sharing, Iceberg-Sharing, ODBC, GraphQL, OData, REST, or event streaming.
Strong data engineering, software engineering, or cloud engineering skills.
Proficiency in Python, especially PySpark and Kapitan.
Proficiency with Git, including GitHub Actions, CI/CD pipelines using declarative YAML, branching strategies, and trunk-based development.
Hands-on infrastructure-as-code experience, ideally Terraform on AWS.
In-depth knowledge of FAIR Data Principles, Linked Data principles, and Data Mesh architecture concepts, with demonstrated practical application.
Proficiency with data governance and security principles and practices.
Strong analytical and communication skills, collaboration abilities, and ability to work independently in a self-organized team.
High accuracy and attention to detail.

Nice to have:

Experience with GxP validation and Computerized Systems Validation.
Experience in Requirements Engineering.
Experience with semantic-layer concepts in modern data platforms such as Databricks, Snowflake, or Microsoft Fabric.
Experience designing and implementing Model Context Protocol (MCP) servers.
Hands-on experience designing and implementing GraphRAG solutions.
Knowledge of data privacy regulations such as GDPR and CCPA.
Cloud engineering experience, such as AWS or Azure.
Knowledge of the pharmaceutical domain, such as LOINC, SNOMED CT, omics, targets, assays, clinical studies, or RWE.

Obowiązki

Lead the design and implementation of data solutions to store, transform, share, and analyze clinical data in compliance with legal and regulatory requirements, including protections for secret data in randomized double-blinded clinical studies under GxP.
Collaborate with stakeholders in an agile setup to capture, specify, and address data-related requirements and dependencies.
Exchange best practices with peers to maintain a coherent, consolidated, and scalable data landscape.
Lead the design and implementation of integration patterns, FAIR data principles, and semantics for efficient, compliant, and secure data consumption by people, systems, and AI agents.
Collaborate with infrastructure experts on a robust, efficient, secure setup using infrastructure as code and composable architecture.
Mentor and coach colleagues, and uphold standards in requirements specification, engineering practices, code review, testing, and documentation.
Exchange with data-related initiatives across Pharma to maintain a comprehensive view of the data landscape and strategic alignment on data architecture.

Bayer Sp. z o.o.

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