Principal Platform Data Engineer, SAP
Core
Own end-to-end architecture for extracting, transforming, and serving SAP ERP data into Snowflake to power enterprise analytics, AI/ML, and AI workloads.
Role type
Principal Platform Data Engineer (SAP)
Builds
SAP-to-Snowflake data pipelines, canonical data models, and AI-ready datasets
Domain
Biotech/Pharma, Enterprise Data Engineering, SAP ERP
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SAP data extraction (SLT, ODP, CDS views, OData, BAPIs, IDocs), Snowflake (Snowpark, Streams/Tasks, Cortex AI), Fivetran, dbt (Jinja, Semantic Layer), SQL, Python, Terraform, AWS, data observability
Preferred skills
Biotech/pharma/healthcare domain experience
Technologies
SAP S/4HANA, SAP BW/4HANA, Snowflake, Fivetran, dbt, AWS, Terraform, GitHub Actions, Monte Carlo
Responsibilities
Design and optimize change data capture strategies across SLT, ODP, and ABAP CDS views; Build canonical SAP data models in dbt for Snowflake medallion architecture; Implement data quality monitoring, security architecture, and CI/CD pipelines; Serve as enterprise SAP data SME leading architecture reviews and vendor discussions; Define the SAP data product roadmap and future-state integration strategy
Seniority
Principal, hands-on IC with strategy & mentorship