CoE AI, Data and Analytics Senior Consultant - BDC

SAP SE; São Leopoldo; Presencial; BRL 150.000 - 180.000; Tempo integral

Resumo da oferta

A global technology company in São Leopoldo, Brazil, is seeking a Senior Consultant in AI, Data, and Analytics. The role involves driving hands-on execution of data solutions while collaborating with customer teams and integrating various platforms. An ideal candidate has 6-10 years of experience in data engineering or technical consulting, alongside strong expertise in Databricks, Snowflake, and SAP BDC. The position emphasizes ongoing learning and the opportunity to shape innovative solutions in a supportive environment.

Serviços

Constant learning opportunities

Skill growth

Great benefits

Qualificações

• 6–10 years of experience in data engineering or technical consulting.
• Hands-on project experience with Databricks or Snowflake.
• Experience working with SAP BDC and Datasphere is advantageous.

Responsabilidades

• Drive execution of data solutions across SAP and non-SAP platforms.
• Guide project activities involving Databricks and Snowflake.
• Collaborate with architects to validate designs.

Conhecimentos

Implementation experience with modern data platforms

Building data pipelines and ETL flows

Proficiency with SAP BDC

Data modeling and performance tuning

Strong communication skills

Formação académica

Bachelor’s or Master’s degree in Computer Science

Ferramentas

Databricks

Snowflake

Azure

AWS

GCP

Descrição da oferta de emprego

CoE AI, Data and Analytics Senior Consultant - BDC

We help the world run betterAt 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 SeniorExpert, 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 under the umbrella of Premium Engagement 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:

• Strong 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.
• Strong communication, documentation, and problem‑solving skills.

EXPECTATIONS AND TASKS

1. Implementation Guidance & Solution Realization

• Guide the implementation of data pipelines, ingestion flows, and transformations across SAP and non‑SAP platforms.
• Advise implementation teams on the optimal configuration, optimisation 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, optimise 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 / 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.
• Experience working with market‑leading AI solutions and positioning them in customer scenarios.

Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e‑mail with your request to Recruiting Operations Team: [e-mail].

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