SAP BDC & Databricks Architect

SAP BDC & Databricks Architect
Skills: Digital : Databricks~SAP Business Data Cloud (BDC)~SAP Datasphere
Experience Required: 6-8 Years


Role Descriptions: Seeking a SAP Business Data Cloud (BDC) & SAP Databricks Solution Architect to support an enterprise SAP BDC Proof of Concept. The resource should have hands-on experience implementing SAP BDC| SAP Databricks| and Datasphere| with the ability to guide architecture decisions| AI/ML use cases| and best practices.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 Flows Data Products BDC Connect / Delta Sharing Experience with AI/ML implementation using Databricks (Python| Spark| MLflow| SQL). Experience integrating SAP and non-SAP data sources.SAP Analytics Cloud (SAC) SAP S/4HANA CDS Views Finance Analytics / FP&A use cases Forecasting or AI/ML implementation experience Experience supporting SAP BDC POCs and enterprise implementations
Essential Skills: 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 Flows Data Products BDC Connect / Delta Sharing Experience with AI/ML implementation using Databricks (Python| Spark| MLflow| SQL). Experience integrating SAP and non-SAP data sources.

Key Responsibilities-

· Design and implement AI/ML use cases using Databricks, including 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 development, ML lifecycle management, and productionization.

· Provide technical guidance on Databricks architecture, performance, scalability, and governance.

· Collaborate with SPE''s SAP/BDC and Finance teams to translate business problems into practical AI/ML solutions.

· Mentor the customer team and serve as the technical point of reference for AI/ML during the PoC.

Mandatory Skills

· Strong hands-on Databricks AI/ML implementation experience.

· Expert-level Python / PySpark / Spark SQL.

· Hands-on experience with MLflow and ML model lifecycle management.

· Experience with:

o Predictive analytics

o Time-series forecasting

o Feature engineering

o Model training and evaluation

o 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 / technical leadership experience.

· Ability to lead a PoC independently and recommend implementation patterns.