Drimva

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

First seen Oct 17, 2026 · Last verified Nov 5, 2026 (UTC)