Amazon
Data Lake/Analytics Sr. SA, Data Lake and Analytics
$154K–$239K
New York, NY +2 · Senior · Full-time · Posted Jul 16, 2026
- Location
- New York, NY
San Francisco, CA
Dallas, TX - Experience
- 8+ years in technology domains; 3+ years in application and infrastructure design, implementation, or consulting; 10+ years in IT development or implementation/consulting in software or Internet industries.
About the job
Architects and builds reusable data lake and analytics solutions for healthcare customers, while advising senior leaders on data strategy and translating business needs into technical roadmaps.
What you'll do
- Architect, develop, test, and validate reusable frameworks, reference architectures, and proof-of-concept solutions.
- Lead customer discussions on data strategy, semantic modeling, analytics, and complex technical solutions.
- Develop and share technical content, best practices, and reusable reference designs; gather customer feedback and identify product or service gaps.
What they ask for
- 8+ years of experience in specific technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.
- 3+ years of experience designing, implementing, or consulting on applications and infrastructures.
- 10+ years of IT development or implementation/consulting experience in the software or Internet industries.
Nice to have
- 5+ years of infrastructure architecture, database architecture, and networking experience.
- Knowledge or experience with SAP systems and architecture, SAP customer or partner relationships, SAP cloud products, clean core design, Generative / Agentic AI, or data & analytics.
Pay
176,600.00 - 239,000.00 USD annually (base salary); 169,000.00 - 228,600.00 USD annually (base salary); 153,600.00 - 207,800.00 USD annually (base salary)
Tools
SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, SAP Cloud Platform, SAP Cloud ERP, Cloud ERP Private
AI focus
Preferred experience includes clean core design and building with non-SAP technologies in Generative / Agentic AI and data & analytics.
Model-written summary · the original posting is authoritative