Lead the design and development of scalable, enterprise-grade data platforms, with a strong specialization in Databricks and modern cloud technologies, driving complex, cross-functional data initiatives.
- Own and drive the technical architecture of complex, cross-functional data initiatives, covering ingestion, transformation, storage, and serving layers.
- Design, develop, and maintain scalable, high-performance data pipelines and distributed data platforms using Databricks and cloud-native technologies across Azure, AWS, or GCP.
- Lead enterprise Master Data Management (MDM) initiatives, including golden records, entity resolution, match-and-merge processes, data domains, reference data, hierarchies, and data stewardship.
- Architect and integrate agentic AI and LLM-powered solutions, including autonomous agents, RAG pipelines, AI copilots, and orchestration frameworks, into enterprise data platforms.
- Build and maintain data foundations for machine learning and AI applications, including feature stores, vector databases, embeddings, and ML/LLMOps pipelines.
- Bachelor's degree in Computer Science, Engineering, Management Information Systems, or a related discipline
- Nice to have: Scala
- Nice to have: Java
- Nice to have: Snowflake
- Nice to have: Azure Synapse
Staff Data Engineer (Databricks specialist)NewJobgether · Remote, Germany