Architect - Enterprise Application - SAP N 4D
Core
Build and operate a modern, governed, metadata-driven business data fabric using SAP Datasphere and SAP Business Data Cloud (BDC) for cross-system ingestion, semantic layering, and governed consumption.
Role type
Senior DataOps Engineer (SAP Datasphere/BDC)
Builds
A centralized, metadata-driven data platform enabling automated data onboarding, transformation, and secure distribution to downstream analytical and operational engines.
Domain
Enterprise Data Engineering / SAP Cloud Platform
Required skills
SAP Datasphere (Spaces, Replication Flows, Data Flows, Transformation Flows), SAP BDC/BTP Data Services, SQL, SAP HANA Cloud, Python, CI/CD (Azure DevOps, GitHub Actions), Metadata-driven automation, Data Access Controls (DAC), Cloud object storage (ADLS, S3, Snowflake)
Preferred skills
SAP Analytics Cloud (SAC), SAP HANA Cloud/HDI Containers, Cloud lakehouse platforms (Databricks, Snowflake, Azure Synapse), SAP BTP administration (IAS, SSO)
Technologies
SAP Datasphere, SAP BTP, Azure DevOps, GitHub, Python, Bash, PowerShell, Airflow, Azure Data Factory, Snowflake, AWS S3, ADLS Gen2
Responsibilities
Build resilient real-time and batch ingestion pipelines; Design metadata-driven Space and Pipeline generation; Implement retention and data tiering strategies; Build governed routing & semantic distribution engines; Own Datasphere & BDC platform governance; Drive DataOps & CI/CD automation; Monitor platform health & replication telemetry; Collaborate with functional teams on semantic consistency; Document architecture and security topologies.
Seniority
Senior, hands-on IC
