SAP Data Architect – SAP BW/HANA, Snowflake & Databricks
About The Position
CTG is seeking to fill a SAP Data Architect – SAP BW/HANA, Snowflake & Databricks position for our client. This is a remote, 12-month contract role. The position involves designing and blueprinting hybrid data architectures that integrate core SAP systems (SAP BW, SAP HANA) with modern cloud data warehouses (Snowflake) and lakehouse environments (Databricks). Key responsibilities include defining enterprise data extraction strategies using SAP-GLUE, establishing governance, security, and quality standards across SAP and Azure ecosystems, and architecting data pipelines using Azure Data Factory. The role also requires designing and supporting SAP BW analytical applications, leveraging advanced SAP ABAP and SAP HANA expertise for complex extractors and views, developing scalable SAP BW/BW/4HANA data models, and designing SAP data replication strategies. Collaboration with various teams to translate data requirements into technical architectures and supporting data integration, transformation, and optimization are also crucial aspects of this role. The architect will contribute to enterprise data strategy, standards, documentation, and best practices.
Requirements
- SAP BW, including BW/4HANA and/or BW on HANA.
- SAP HANA data modeling, including Calculation Views and related modeling techniques.
- Advanced SAP ABAP, including Object-Oriented ABAP, enhancements, custom extractors, user exits, and routines.
- SAP-GLUE (SNP Glue) for bulk and delta replication from SAP to cloud targets.
- Snowflake architecture, including virtual warehouses, data sharing, and cloud data warehousing concepts.
- Databricks, including Apache Spark and Delta Lake.
- Azure Data Factory (ADF) for data pipeline development and orchestration.
- SAP CDS Views and ABAP Managed Database Procedures (AMDPs).
- SAP BW ABAP Modeling and/or SAP BW Integrated Planning.
- Data architecture, ETL/ELT, data integration, and data transformation.
- Azure cloud data architecture and hybrid SAP/cloud environments.
- Power BI, including DAX and Power Query.
- Microsoft Power Platform for workflow automation and application development.
- Strong understanding of data governance, security, scalability, and performance optimization.
- Proven experience designing and implementing enterprise SAP data architectures and analytical solutions.
- Extensive hands-on experience with SAP BW/BW/4HANA and SAP HANA.
- Strong experience developing SAP ABAP-based data extraction and transformation solutions.
- Deep hands-on experience with SAP-GLUE (SNP Glue) for SAP-to-cloud data replication.
- Proven architectural experience with Snowflake and Databricks-based data platforms.
- Extensive experience building and managing Azure Data Factory pipelines.
- Experience integrating SAP data with modern cloud data warehouses and lakehouse environments.
- Experience developing analytical applications using SAP BW, including data modeling, ETL, reporting, and end-user analytics.
- Experience with SAP BW ABAP Modeling, SAP BW Integrated Planning, or related SAP BW development capabilities.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or equivalent combination of education and experience.
- Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.
Nice To Haves
- Experience with Power BI and Microsoft Power Platform is preferred.
- Relevant SAP, cloud, data architecture, or analytics certifications are a plus.
Responsibilities
- Design and blueprint hybrid data architectures integrating core SAP systems, including SAP BW and SAP HANA, with modern cloud data warehouses such as Snowflake and lakehouse environments such as Databricks.
- Define enterprise data extraction strategies using SAP-GLUE (SNP Glue) to securely and efficiently decouple and replicate complex SAP data structures into cloud storage.
- Establish data governance, security, data quality, and performance optimization standards across SAP and Azure ecosystems.
- Architect and oversee data pipelines using Azure Data Factory (ADF) to orchestrate data flows between SAP, Databricks, Snowflake, and other cloud data platforms.
- Design and support SAP BW analytical applications leveraging data modeling, data architecture, ETL, reporting, and analytics.
- Leverage advanced SAP ABAP and SAP HANA expertise to design complex extractors, CDS views, AMDPs, calculation views, and custom transformation logic.
- Develop scalable SAP BW/BW/4HANA data models and integration solutions to support enterprise reporting and analytics.
- Design and implement SAP data replication strategies supporting both bulk and delta data movement to cloud environments.
- Collaborate with data engineering, analytics, SAP, and business teams to translate data requirements into scalable technical architectures.
- Support data integration, transformation, performance tuning, troubleshooting, and ongoing optimization across hybrid data environments.
- Contribute to enterprise data strategy, architecture standards, technical documentation, and best practices.
Benefits
- competitive benefit package
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What This Job Offers
Job Type
Full-time
Career Level
Senior
