Sr.SAP Consultant, Professional Services - SAP
Amazon is hiring a Sr.SAP Consultant, Professional Services - SAP in Dallas, United States. It pays $154k-$208k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include AWS, SAP and SAP Datasphere.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Design and execute SAP cloud migrations to AWS data services as a senior delivery consultant.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
- Lead technical assessment of customer BW environments (data models, extractors, queries, process chains)
- Design migration architecture from BW to SAP Business Data Cloud (Datasphere, SAC) on AWS
- Execute data model conversion and mapping from BW objects to Datasphere artifacts
- Build and validate extraction pipelines from source SAP systems to AWS data services
- Develop reusable migration tooling and accelerators
- Own delivery of assigned workstreams within timeline and quality standards
- Create technical documentation (design specs, runbooks, cutover plans)
- Collaborate with customer BW and BI teams on knowledge transfer
- Identify risks early, escalate blockers, propose mitigations
- Support pre-sales with technical scoping and estimation for BW migration opportunities
Basic qualifications
- 5+ years of external or internal customer facing, complex and large scale project management experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years SAP BW migration experience (modeling, extraction, transformation, reporting)
- Hands-on experience of SAP Business Data Cloud architecture (Datasphere, SAC)
- Hands on BW functional migration experience with at least one BW to cloud migration (AWS, Azure, or GCP)
- SQL proficiency, basic Python or ABAP scripting
Preferred qualifications
- degree in advanced technology, or AWS Professional level certification
- Experience communicating technical concepts to diverse audiences in pre-sales environments
- Can lead customer technical workshops and projects independently
- AWS data services experience (Redshift, Glue, S3, Lake Formation)
- SAP BTP integration knowledge
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
How we rate this
Sr.SAP Consultant, Professional Services - SAP at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where cloud migration was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- What's a project where you used AWS hands-on?
- Walk me through how you've used SAP in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Cloud Migration, Data Modeling, ETL, AWS, and SAP. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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