SAP SE
Center of Expertise (CoE) Business Process Senior Consultant - BDC
SAP SE, Newtown Square, Pennsylvania, United States
Center of Expertise (CoE) Business Process Senior Consultant - BDC
We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
What you’ll do As a Senior Expert, you will drive the hands‑on execution of data and analytics solutions across SAP and non‑SAP platforms. You will advise and guide project activities, lead detailed work involving Databricks, Snowflake, Azure/AWS/GCP analytics services, and modern lakehouse architectures—while ensuring seamless alignment with SAP BDC as the enterprise data foundation.
In this role, you will work directly with customer technical teams to configure pipelines, integrate data sources, optimize workloads, and operationalize analytics and AI use cases. You will support solution realization from design to deployment, translating architecture guidance into concrete technical deliverables.
You will collaborate with architects, data engineers, and SAP product teams to validate designs, troubleshoot issues, and ensure solution quality. As a competitive‑landscape expert, you will advise customers on best‑fit technologies and help position SAP BDC effectively within broader enterprise ecosystems.
What You Bring
Exceptional hands‑on implementation experience with modern data platforms: Databricks, Snowflake, Google, Azure, or AWS data platforms.
Experience building data pipelines, ETL/ELT flows, batch and streaming integrations, and lakehouse structures.
Proficiency with SAP BDC or other SAP data products (Datasphere, SAC, BW/4HANA, HANA Cloud) and ability to integrate them with external data platforms.
Practical understanding of data modeling, performance tuning, orchestration frameworks, and cloud DevOps workflows.
Ability to assess trade‑offs across competitive data platforms and advise on implementation choices.
Exceptional communication, documentation, and problem‑solving skills.
Expectations and Tasks 1. Hands‑On Implementation Guidance & Solution Realization
Lead the implementation of data pipelines, ingestion flows, and transformations across SAP and non‑SAP platforms.
Advise implementation teams on optimal configuration, optimization, and operationalization of workloads on Databricks, Snowflake, and hyperscaler services.
Translate solution designs into working technical components and validate end‑to‑end functionality.
2. Integration Across SAP BDC and External Data Platforms
Implement use cases spanning SAP BDC and modern platforms (Databricks, Snowflake, Azure/AWS/GCP).
Support deployment of analytics‑ready datasets for BI, planning, ML, and AI use cases.
3. Performance, Optimization & Technical Troubleshooting
Analyze performance issues, optimize SQL/ETL/ELT pipelines, implement delta share, and tune storage/compute configurations.
Troubleshoot integration failures, schema mismatches, latency issues, and workload bottlenecks.
Recommend improvements for reliability, scalability, and cost efficiency.
4. Customer Collaboration, Enablement & Delivery Support
Work closely with customer teams to clarify requirements, explain technical options, and guide implementation choices.
Prepare and deliver technical documentation, runbooks, and operational guides.
Support user acceptance testing, cutover planning, and deployment activities.
Advise customers on differences across platforms such as Databricks, Snowflake, Azure, AWS, and GCP and how they integrate with SAP BDC.
Provide recommendations based on performance, cost, architecture, and use‑case fit.
Promote best practices for hybrid architectures combining SAP BDC with external data ecosystems.
Education and Qualifications / Skills and Competencies Work Experience
6–10 years of experience in data engineering, analytics platform implementation, or technical consulting.
Hands‑on project experience with Databricks, Snowflake, or Azure/AWS/GCP data platforms.
Experience working with SAP BDC, Datasphere, BW/4HANA, or HANA Cloud is a strong advantage.
Prior customer‑facing or delivery experience in mid‑to‑large scale transformation programs preferred.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Compensation Range Transparency : SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. The targeted combined range for this position is 107,300 – 230,600 USD.
#J-18808-Ljbffr
What you’ll do As a Senior Expert, you will drive the hands‑on execution of data and analytics solutions across SAP and non‑SAP platforms. You will advise and guide project activities, lead detailed work involving Databricks, Snowflake, Azure/AWS/GCP analytics services, and modern lakehouse architectures—while ensuring seamless alignment with SAP BDC as the enterprise data foundation.
In this role, you will work directly with customer technical teams to configure pipelines, integrate data sources, optimize workloads, and operationalize analytics and AI use cases. You will support solution realization from design to deployment, translating architecture guidance into concrete technical deliverables.
You will collaborate with architects, data engineers, and SAP product teams to validate designs, troubleshoot issues, and ensure solution quality. As a competitive‑landscape expert, you will advise customers on best‑fit technologies and help position SAP BDC effectively within broader enterprise ecosystems.
What You Bring
Exceptional hands‑on implementation experience with modern data platforms: Databricks, Snowflake, Google, Azure, or AWS data platforms.
Experience building data pipelines, ETL/ELT flows, batch and streaming integrations, and lakehouse structures.
Proficiency with SAP BDC or other SAP data products (Datasphere, SAC, BW/4HANA, HANA Cloud) and ability to integrate them with external data platforms.
Practical understanding of data modeling, performance tuning, orchestration frameworks, and cloud DevOps workflows.
Ability to assess trade‑offs across competitive data platforms and advise on implementation choices.
Exceptional communication, documentation, and problem‑solving skills.
Expectations and Tasks 1. Hands‑On Implementation Guidance & Solution Realization
Lead the implementation of data pipelines, ingestion flows, and transformations across SAP and non‑SAP platforms.
Advise implementation teams on optimal configuration, optimization, and operationalization of workloads on Databricks, Snowflake, and hyperscaler services.
Translate solution designs into working technical components and validate end‑to‑end functionality.
2. Integration Across SAP BDC and External Data Platforms
Implement use cases spanning SAP BDC and modern platforms (Databricks, Snowflake, Azure/AWS/GCP).
Support deployment of analytics‑ready datasets for BI, planning, ML, and AI use cases.
3. Performance, Optimization & Technical Troubleshooting
Analyze performance issues, optimize SQL/ETL/ELT pipelines, implement delta share, and tune storage/compute configurations.
Troubleshoot integration failures, schema mismatches, latency issues, and workload bottlenecks.
Recommend improvements for reliability, scalability, and cost efficiency.
4. Customer Collaboration, Enablement & Delivery Support
Work closely with customer teams to clarify requirements, explain technical options, and guide implementation choices.
Prepare and deliver technical documentation, runbooks, and operational guides.
Support user acceptance testing, cutover planning, and deployment activities.
Advise customers on differences across platforms such as Databricks, Snowflake, Azure, AWS, and GCP and how they integrate with SAP BDC.
Provide recommendations based on performance, cost, architecture, and use‑case fit.
Promote best practices for hybrid architectures combining SAP BDC with external data ecosystems.
Education and Qualifications / Skills and Competencies Work Experience
6–10 years of experience in data engineering, analytics platform implementation, or technical consulting.
Hands‑on project experience with Databricks, Snowflake, or Azure/AWS/GCP data platforms.
Experience working with SAP BDC, Datasphere, BW/4HANA, or HANA Cloud is a strong advantage.
Prior customer‑facing or delivery experience in mid‑to‑large scale transformation programs preferred.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Compensation Range Transparency : SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. The targeted combined range for this position is 107,300 – 230,600 USD.
#J-18808-Ljbffr