SAP BDC / SAP Databricks Solution Architect

TCS • Culver City, CA

2d

About The Position

We are seeking a highly skilled SAP BDC / SAP Databricks Solution Architect with extensive hands-on implementation experience in SAP Business Data Cloud (BDC) and SAP Databricks. The role involves designing and implementing AI/ML use cases, performing model development, and providing technical leadership. You will work closely with SAP/BDC and Finance teams to translate business problems into practical AI/ML solutions, define best practices for data engineering and ML lifecycle management, and mentor customer teams. This is a customer-facing role requiring strong technical leadership and the ability to lead Proofs of Concept (POCs) independently.

Requirements

• 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.
• 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.

Responsibilities

• 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, and 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.
• Lead a PoC independently and recommend implementation patterns.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed