SAP BDC / SAP Databricks Solution Architect

Overview: Hands-on implementation experience with SAP Business Data Cloud (BDC).Strong implementation experience with SAP Databricks. Good working knowledge of SAP Datasphere, including:

• Data Modeling
• Replication & Transformation FlowsData ProductsBDC Connect / Delta Sharing
• Experience with AI/ML implementation using Databricks:
• PythonSparkMLflowSQLExperience integrating SAP and non-SAP data sources.
• Experience with SAP Analytics Cloud (SAC).Experience with SAP S/4HANA CDS Views.
• Experience with Finance Analytics / FP&A use cases.
• Experience with forecasting or AI/ML implementation.
• Experience supporting SAP BDC POCs and enterprise implementations.
• Design and implement AI/ML use cases using Databricks.
• Perform model development, experimentation, validation, and deployment.
• Work with SAP BDC/Datasphere data products and prepare data for downstream AI/ML workloads.
• Define best practices for:
• Data engineering
• Feature preparation
• Model developmentML lifecycle management
• ProductionizationProvide technical guidance on Databricks architecture, performance, scalability, and governance.
• Collaborate with SAP/BDC and Finance teams to translate business problems into practical AI/ML solutions.
• Mentor customer teams and serve as the technical point of reference for AI/ML during the PoC.Strong hands-on Databricks AI/ML implementation experience.
• Expert-level knowledge of:
• PythonPySparkSpark SQLHands-on experience with MLflow and ML model lifecycle management.
• Experience with:
• Predictive Analytics
• Time-Series Forecasting
• Feature Engineering
• Model Training and Evaluation
• Model Tuning and Deployment
• Experience building scalable data pipelines for ML workloads.
• Strong understanding of Databricks architecture, Delta Lake, and data engineering.
• Customer-facing solution design and technical leadership experience.
• Ability to lead a PoC independently and recommend implementation patterns.