Senior Data Architect

20.2k - 25.3k PLN20 240 - 25 300 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

SeniorHybryda·WarszawaFull-time·Umowa o pracę

#473668·Dodano 2 dni temu·2

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Databricks

Podsumowanie oferty

As a Senior Data Architect, you will connect data across the pharmaceutical value chain, with a focus on Research & Development, so scientists, analysts, and AI agents can access high-quality data. You will design and implement data solutions that integrate and unify data across systems, applying FAIR Data Principles and Linked Data standards.

Wymagania

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 conceptual, logical, and physical data models.
Proficiency with relational and graph databases.
Extensive experience with API design patterns and integrating data from source systems using interfaces such as OpenSharing/Delta Sharing, Iceberg-Sharing, ODBC, GraphQL, OData, REST, or event streaming.
Strong engineering skills in data engineering, software engineering, or cloud engineering.
Proficiency in at least one programming language and 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.
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.

Nice to have:

Experience with semantic layer concepts in data platforms such as Databricks, Snowflake, or Microsoft Fabric.
Familiarity with Enterprise Architecture and Domain Data Modelling.
Knowledge of ontologies and taxonomies, and proficiency in Semantic Web technologies, standards, and tools such as RDF, OWL, SHACL, SPARQL, and TopBraid EDG.
Familiarity with information retrieval systems such as Elasticsearch.
Familiarity with data governance solutions such as 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 such as GDPR and CCPA.
Foundational cloud engineering experience, such as AWS or Azure.
Familiarity with CI/CD practices, for example using GitHub Actions.
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 integrate, unify, and synchronize data across systems in R&D and beyond, enabling data findability in compliance with legal and regulatory requirements.
Collaborate with stakeholders in an agile setup to capture and specify data-related requirements and dependencies and ensure a fit-for-purpose technical implementation.
Apply FAIR Data Principles and Linked Data standards to support efficient, compliant, and secure data use by people, systems, and AI agents.
Mentor and coach less-experienced colleagues; uphold standards in requirements specification, engineering practices, code review, testing, and documentation.
Drive cross-team alignment on data and knowledge architecture decisions, balancing long-term goals with near-term execution and maintaining a coherent, scalable data landscape.
Design and implement measures to protect data from unauthorized access, corruption, or theft, and ensure its confidentiality, integrity, and availability.
Align data initiatives with business, digital, and IT strategies through enterprise architecture thinking.

Bayer Sp. z o.o.

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