Architect - Enterprise Application - SAP N 4D
Core
Design and maintain a governed, metadata-driven data integration and staging platform centered on SAP BusinessObjects Data Services (BODS) and enterprise databases/data lakes.
Role type
Senior DataOps Engineer (ETL Platform)
Builds
Central staging repositories, archival systems, and controlled distribution pipelines for downstream SAP and non-SAP systems.
Domain
Enterprise Data Engineering / SAP Ecosystem
Required skills
SAP Data Services (BODS 4.x), SQL (SAP HANA, SQL Server, Oracle), Python, PowerShell, Bash, ETL Orchestration, CI/CD, Data Governance, Metadata Management, CDC, Data Masking
Preferred skills
SAP Information Steward, Cloud Data Platforms (Azure, Snowflake, Databricks), SAP SLT, SAP Data Intelligence
Technologies
SAP BODS, SAP S/4HANA, SAP ECC, SAP HANA, SQL Server, Oracle, Azure Data Factory, Control-M, Airflow, Autosys, Git
Responsibilities
Build and operate batch and incremental CDC ingestion pipelines; Design and maintain metadata-driven ETL generation frameworks; Implement partition-based retention and archiving routines; Build and maintain dataset routing-rules engines; Own BODS repository architecture and governance; Drive DataOps & CI/CD automation; Monitor pipeline health and establish automated alerting.
Seniority
Senior, hands-on IC