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Senior Data Architect - Semantics & Knowledge - Bayer
Software Engineer
Lead the design and implementation of semantic data solutions, building knowledge graphs and advanced data models to enable cross‑domain analytics and AI initiatives using SQL, NoSQL, and modern ETL pipelines.
About the role
Key Responsibilities
- Architect and evolve enterprise‑wide semantic data models and knowledge graphs that support advanced analytics and AI use cases.
- Design and implement scalable ETL pipelines, ensuring data quality, lineage, and governance across relational and NoSQL stores.
- Collaborate with data scientists, business analysts, and domain experts to translate complex business requirements into robust data structures.
- Define and enforce best practices for data modeling, metadata management, and semantic enrichment.
- Mentor junior architects and data engineers, fostering a culture of continuous improvement and knowledge sharing.
Requirements
- 10+ years of experience in data architecture, with a strong focus on semantic technologies and knowledge graph development.
- Proficiency in SQL, NoSQL (e.g., MongoDB, Neo4j), and ETL tools (e.g., Informatica, Talend).
- Hands‑on experience with graph databases, RDF, OWL, and SPARQL.
- Solid understanding of data warehousing concepts, data lake architectures, and cloud platforms (AWS, Azure, or GCP).
- Excellent communication skills and a proven ability to translate technical concepts for non‑technical stakeholders.