Lead the project's data architecture with a focus on artificial intelligence applications in the SAP context.
Design and implement data ingestion, transformation, and delivery pipelines from multiple sources, integrating SAP environments with modern data platforms.
Structure the analytical architecture to support machine learning models, autonomous agents, and real-time integrations, using Databricks as the foundation.
Work side-by-side with data engineers, data scientists, and developers to ensure data governance, quality, and traceability.
Participate in strategic decisions about data organization, metadata catalogs, versioning, and lineage, aligning with DataOps and MLOps best practices.
Support the team with best practices in using SAP BTP (Business Technology Platform) for interconnection with corporate SAP systems.
Requirements
Solid experience as a Data Architect or Solutions Architect with a data focus.
Proficiency in the Databricks platform (Unity Catalog, Delta Lake, Spark, MLflow).
Knowledge of data modeling for AI, including feature stores and data preparation strategies for autonomous agents.
Experience with Data Governance, versioning, and pipeline orchestration (e.g., Airflow, Databricks Workflows).
Prior knowledge (or willingness to learn quickly) about the data structure of the SAP/SAP BTP ecosystem.
Advanced or fluent English.
It will be a plus: experience in projects with Crew.ai, RAG pipelines, or agent architectures.
It will be a plus: experience with structured data environments with multiple workspaces and layers (bronze/silver/gold).
It will be a plus: familiarity with SAP CDS Views, OData APIs, or SAP DataSphere.
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