Purple Drive
SAP BDC / SAP Databricks Solution Architect
- Compensation
- Not disclosed
- Location
- Culver City, CA, USA
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Full 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.