SAP BDC Data Architect - Transform Enterprise Data

SAP IT Business Systeme; Houston (TX); On-site; USD 152,000 - 341,000; Full time

Job summary

SAP IT Business Systeme in Houston, United States is seeking an innovative SAP BDC Data Architect to design, develop, and optimize enterprise data architecture solutions using SAP Batch Data Communication (BDC).

You will collaborate with cross-functional teams to ensure efficient data integration, migration, and management across complex systems while maintaining the highest standards of data integrity and governance.

Qualifications

• 5+ years of SAP BDC development and data architecture design experience.
• Strong data modeling, ETL and enterprise data warehousing knowledge.
• Proficiency in SQL, relational databases and data integration tools.
• ABAP or Python scripting for automation and data processing.

Responsibilities

• Design and architect scalable data solutions using SAP BDC aligned with enterprise standards.
• Develop and optimize BDC scripts to automate data migration and integration.
• Create data architecture models and comprehensive technical specifications.
• Collaborate with SAP consultants, analysts and IT teams to implement data solutions.
• Maintain data architecture documentation, including data flows and ER models.
• Ensure data quality and governance to meet regulatory compliance.
• Lead performance tuning to maximize system efficiency and reliability.
• Provide mentoring on data architecture and SAP BDC implementation.

Skills

SAP BDC

Data architecture design

SQL

ABAP/Python scripting

Data governance

ETL processes

Tools

ABAP

Python

SQL DBMS

Job description

SAP IT Business Systeme in Houston, United States is seeking an innovative SAP BDC Data Architect to design, develop, and optimize enterprise data architecture solutions using SAP Batch Data Communication (BDC).

You will collaborate with cross-functional teams to ensure efficient data integration, migration, and management across complex systems while maintaining the highest standards of data integrity and governance.