SAP BDC & Databricks Architect

Qualis1 Inc.; Culver City (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Qualis1 Inc. is seeking a senior AI/ML data engineer to design and implement AI/ML use cases using Databricks. You will work with SAP BDC and Datasphere data products for downstream analytics and downstream AI/ML workloads.

You will define best practices for data engineering, feature engineering and productionization, while providing technical leadership on Databricks architecture and governance. The role involves leading PoCs and collaborating with SAP/BDC and Finance teams on forecasting and

Qualifications

• Strong hands-on Databricks AI/ML implementation.
• Expert-level Python / PySpark / Spark SQL.
• Hands-on MLflow experience.
• Predictive Analytics & Time-Series Forecasting.
• Strong Databricks, Delta Lake & Data Engineering knowledge.
• Customer-facing Solution Design / Technical Leadership.
• Ability to independently lead an AI/ML PoC.

Responsibilities

• Design and implement AI/ML use cases using Databricks.
• Work with SAP BDC/Datasphere data products for downstream AI/ML workloads.
• Define best practices for data engineering, feature engineering, model development and productionization.
• Provide technical leadership on Databricks architecture, performance, scalability and governance.
• Support SAP BDC PoC and enterprise implementations.
• Lead PoC activities independently and recommend scalable implementation patterns.
• Collaborate with SAP/BDC and Finance teams on Forecasting, Predictive Analytics and FP&A use cases.

Skills

AI/ML use cases

Technical leadership

Forecasting

Tools

SAP BDC

SAP Datasphere

Databricks

Python / PySpark / Spark SQL

MLflow

Delta Lake

Data integration

Job description

Location: Culver City, CA — 100% Onsite from Day 1

Duration: 12 Months

Experience: 6–8 Years

Key Skills

• SAP Business Data Cloud (BDC)
• SAP Databricks
• SAP Datasphere
• Databricks AI/ML
• Python / PySpark / Spark SQL
• MLflow & ML Model Lifecycle Management
• SAP & Non-SAP Data Integration

Role Highlights

• Design and implement AI/ML use cases using Databricks
• Work with SAP BDC/Datasphere data products for downstream AI/ML workloads
• Define best practices for data engineering, feature engineering, model development and productionization
• Provide technical leadership on Databricks architecture, performance, scalability and governance
• Support SAP BDC Proof of Concept (PoC) and enterprise implementations
• Lead PoC activities independently and recommend scalable implementation patterns
• Collaborate with SAP/BDC and Finance teams on Forecasting, Predictive Analytics and FP&A use cases

Mandatory Skills

• Strong hands-on Databricks AI/ML implementation
• Expert-level Python / PySpark / Spark SQL
• Hands-on MLflow experience
• Predictive Analytics & Time-Series Forecasting
• Strong Databricks, Delta Lake & Data Engineering knowledge
• Customer-facing Solution Design / Technical Leadership
• Ability to independently lead an AI/ML PoC