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SAP BDC / SAP Databricks Solution Architect

Purple Drive Technologies LLCCulver City, CA🇺🇸United StatesPosted 13 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

  • 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.
  • 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 development
    • ML lifecycle management
    • Productionization
  • Provide 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:
    • Python
    • PySpark
    • Spark SQL
  • Hands-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.

Skills

SQL
MLflow
Databricks
Python

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