Amazon
Specialist Solutions Architect – Data Lake and Semantics/Analytics (HCLS), Data Lake and Analytics
$131K–$204K
New York, NY +2 · Full-time · Posted Oct 16, 2026
- Location
- New York, NY
San Francisco, CA
Dallas, TX - Experience
- 5+ years in technical pre-sales, consulting, or solutions architecture; 3+ years hands-on with data lake, data warehouse, or analytics platforms. The posting also lists 2+ years in application/infrastructure design, implementation, or consulting; 4+ years in specified technology domains; and 10+ years of IT development or implementation/consulting in software or Internet industries.
About the job
Advises healthcare and life sciences customers on designing and implementing scalable AWS data lake, analytics, semantic-layer, and AI-ready solutions.
What you'll do
- Lead customer technical discussions and own the design and delivery of documented, reusable solutions.
- Develop and review technical content such as reference architectures, whitepapers, and workshop materials.
- Gather customer feedback, share knowledge across the Solutions Architect community, and collaborate with account and service teams.
What they ask for
- 5+ years of experience in technical pre-sales, consulting, or solutions architecture.
- 3+ years of hands-on experience with data lake, data warehouse, or analytics platforms.
- Experience designing and implementing solutions on AWS or comparable cloud platforms.
- Strong understanding of data modeling, ETL/ELT patterns, and analytics architectures.
Nice to have
- Experience with AWS analytics services, semantic layers, knowledge graphs, or ontology-driven data architectures.
- Exposure to AI/ML, healthcare data standards, AWS certifications, or enterprise customers in regulated industries.
Pay
151,000.00 - 204,300.00 USD annually (base salary); 144,500.00 - 195,400.00 USD annually (base salary); 131,300.00 - 177,600.00 USD annually (base salary)
Tools
AWS, S3, Lake Formation, Glue, Redshift, Athena, SageMaker, Bedrock
AI focus
Lead discussions on AI readiness and data readiness for AI; preferred exposure includes AI/ML services and generative AI patterns.
Model-written summary · the original posting is authoritative