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SAP Analytics & Data Architect - General Delivery Hub

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. This role combines deep hands‑on delivery with technical leadership, ensuring successful realization of complex customer solutions. You will advise, guide, and implement project activities 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 own and drive 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 guide implementation decisions, resolve complex technical challenges, and help customers choose best‑fit technologies and position SAP BDC effectively within broader enterprise ecosystems.

What you bring

- Extensive hands‑on implementation experience with modern data platforms: Databricks, Snowflake, Google, Azure or AWS data platforms, Palantir and Open Source technologies, including the Apache ecosystem.
- Proven 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 architectural and implementation trade‑offs across competitive data platforms and advise on implementation choices.
- Strong communication, documentation, and problem‑solving skills.

Expectations and Tasks

1. Implementation Guidance & Solution Realization

Own and 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 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.

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.

Education and Qualifications

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.

Equal Employment Opportunity

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. 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, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

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📌 SAP Analytics & Data Architect - Global Delivery Hub (Buenos Aires)
🏢 SAP
📍 Buenos Aires