About The Position

We are seeking an experienced SAP Business Data Cloud (BDC) & SAP Databricks Solution Architect to lead an enterprise Proof of Concept (POC) and guide architecture decisions. The ideal candidate will have hands-on expertise in SAP BDC, SAP Databricks, and SAP Datasphere, with the ability to design scalable solutions, integrate SAP/non-SAP data sources, and support AI/ML use cases.

Requirements

  • Hands-on implementation experience with SAP Business Data Cloud (BDC).
  • Strong expertise in SAP Databricks.
  • Working knowledge of SAP Datasphere (data modeling, replication, transformation flows, data products).
  • Experience with AI/ML implementation using Databricks (Python, Spark, MLflow, SQL).
  • Proven ability to integrate SAP and non-SAP data sources.
  • 6–8 years of relevant experience in SAP BDC, SAP Databricks, and Datasphere.
  • Proven track record in solution architecture and enterprise-scale implementations.

Nice To Haves

  • Experience with SAP Analytics Cloud (SAC).
  • Knowledge of SAP S/4HANA CDS Views.
  • Exposure to Finance Analytics / FP&A use cases.
  • Forecasting or advanced AI/ML implementation experience.
  • Prior experience supporting SAP BDC POCs and enterprise implementations.

Responsibilities

  • Lead architecture and implementation of SAP Business Data Cloud (BDC) solutions.
  • Design and implement SAP Databricks workflows for enterprise data integration and analytics.
  • Develop and optimize SAP Datasphere components including: Data Modeling, Replication & Transformation Flows, Data Products, BDC Connect / Delta Sharing.
  • Integrate SAP and non-SAP data sources into unified data pipelines.
  • Implement AI/ML solutions using Databricks (Python, Spark, MLflow, SQL).
  • Provide best practices and guidance for enterprise-scale SAP BDC implementations.
  • Collaborate with business stakeholders to identify finance analytics, FP&A, and forecasting use cases.
  • Mentor teams and ensure adherence to architectural standards and governance.
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