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SAP Business Data Cloud with Databricks Architect

Savi TechnologiesCulver City, CA🇺🇸United StatesPosted 13 Aug 2026

Why This Role Stands Out

This hybrid role offers an exciting opportunity to architect cutting-edge SAP Business Data Cloud and Databricks solutions, driving AI/ML innovation for enterprise-level projects. You'll thrive here if you have hands-on experience with SAP BDC, Databricks, and Datasphere, and a passion for guiding architectural decisions and implementing advanced analytics. Embrace this chance to shape impactful data strategies and advance your career in a dynamic technology environment.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

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.

Skills

SQL
MLflow
Databricks
FP&A
Forecasting
Python
SAP

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