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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 project activities involving Databricks, Snowflake, Azure/AWS/GCP analytics services, and modern Llakehouse 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:
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 Guide the implementation of data pipelines, ingestion flows, and transformations across SAP and non-SAP platforms.
Advise implementation teams on the optimal configuration, optimization, of workloads in Configure, optimize, and operationalize workloads on Databricks, Snowflake, and hyperscaler data & analytics 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 across 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.
5. Competitive Landscape Expertise & Best Practices
Advise customers on differences across platforms such as Databricks, Snowflake, Azure, AWS , and GCP and their ability to 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.
Educaton and Qualifications / Skills and Competencies:
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems
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 and 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.
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