Specialist Solutions Architect – Data Lake and Semantics/Analytics (HCLS), Data Lake and Analytics

Amazon is hiring a Specialist Solutions Architect – Data Lake and Semantics/Analytics (HCLS), Data Lake and Analytics in San Francisco, United States. It pays $151k-$204k a year and Level rates it ; you can apply on Level.

Level's read on this job

Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Bedrock, Sagemaker and AWS S3.
Level files it as a senior role.
Level lists 22,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

Drives data lake, analytics, and AI readiness architectures for healthcare and life sciences customers on AWS.

bedrocksagemakeraws-s3aws-glueaws-lake-formationaws-redshiftaws-athenaaws-emraws-quicksight

solutions-architecturedata-lakeanalyticssemantic-layerhealthcare-data

Data Lake and Analytics Specialist Solutions Architects are technical contributors who combine solid business understanding with strong technical skills to drive data, analytics, and AI conversations with Healthcare and Life Sciences (HCLS) customers. They work with customers to architect well-designed solutions to complex technical problems, translating business requirements into scalable architectures grounded in AWS best practices. They operate in environments where business objectives may not be fully defined, and they help customers clarify requirements and identify the right technical path forward.

What You Will Do

You will serve as a trusted technical advisor to customer engineering and architecture teams, helping them design and implement data lake, analytics, and semantic layer solutions on AWS. You will lead technical discussions around data platforms, analytics architectures, and AI readiness, and you will be comfortable diving deep into the details of services like S3, Lake Formation, Glue, Redshift, Athena, SageMaker, and Bedrock while also understanding how these fit into a customer's broader data strategy.

You will work closely with account teams, senior SAs, and service teams to deliver high-quality technical engagements. You will own the design and delivery of technical solutions for your assigned customers, ensuring architectures are sound, scalable, and aligned with the customer's business goals. Solutions you deliver should be well-documented and reusable, contributing to a growing library of reference architectures and patterns that other SAs can leverage.

Basic Qualifications

- 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
- Familiarity with healthcare or life sciences data domains is preferred
- Excellent written and verbal communication skills with the ability to present to both technical and non-technical audiences

Preferred Qualifications

- Experience with AWS analytics services (S3, Glue, Lake Formation, Redshift, Athena, EMR, QuickSight)
- Exposure to AI/ML concepts and services, including data readiness for AI and generative AI patterns
- Experience with semantic layers, knowledge graphs, or ontology-driven data architectures
- Familiarity with healthcare data standards (HL7, FHIR, OMOP, claims data models)
- AWS certifications (Solutions Architect, Data Analytics, or Machine Learning specialty)
- Experience working with enterprise customers in regulated industries

Key job responsibilities
Technical Leadership and Content

You will contribute to the development and delivery of technical content including whitepapers, blog posts, reference architectures, and workshop materials. You will participate in the review process for technical artifacts created by peers and help maintain the quality bar for content within the Data Lake and Analytics specialty. You will stay current on AWS services, industry trends, and emerging patterns in data and analytics, and you will share what you learn with your team and the broader SA community.

Customer Engagement and Feedback

You will identify gaps in AWS products and services based on your customer engagements and contribute to effective feedback mechanisms that reach the right service teams. You will anticipate near-term customer needs and proactively bring solutions and recommendations to the table. You will build strong working relationships with customer technical teams and earn their trust through consistent delivery and deep technical credibility.

Community and Collaboration

You will be an active and engaged member of the Solutions Architect community. You will build connections across SA organizations, contribute to internal knowledge sharing, participate in technical discussions, and help raise awareness of common challenges and proven solutions in the data and analytics space. You will seek out opportunities to learn from more senior SAs and contribute your own expertise to help others grow.

Basic qualifications

- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

Preferred qualifications

- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, San Francisco - 151,000.00 - 204,300.00 USD annually
USA, NY, New York - 144,500.00 - 195,400.00 USD annually
USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually

How we rate this

Specialist Solutions Architect – Data Lake and Semantics/Analytics (HCLS), Data Lake and Analytics at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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. Open the description and count.

Key facts

Specialist Solutions Architect – Data Lake and Semantics/Analytics (HCLS), Data Lake and Analytics is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $151k-$204k a year.
The role is based in US, CA, San Francisco.
The job was posted on October 16, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Solutions ArchitectureData LakeAnalyticsSemantic LayerHealthcare DataBedrockSagemakerAWS S3

Also common in solutions architect jobs at this level

Python LLM Azure Google Cloud SQL AI agents

Pay

This job starts at: $151k
Typical solutions architect job: $168k

This posting starts 10% below the typical solutions architect job. See solutions architect jobs

Questions you could be asked

Tell me about a project where solutions architecture was part of your work. What did you do?
Tell me about a project where data lake was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?
Tell me about a project where semantic layer was part of your work. What did you do?
Tell me about a project where healthcare data was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Solutions Architecture, Data Lake, Analytics, Semantic Layer, and Healthcare Data. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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