1,898,234open jobs
111,073companies
252,780added this week
Browse all
Salary
$154k – $208k per year
Location
In office (Seattle)
Seniority
Architect · 10+ years exp
Visa
H-1B filings in 12 months: 16,768 · for this role: 827 · green card filings: 56
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Sep 24, 2026. Amazon scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Amazon is an American technology and retail conglomerate founded by Jeff Bezos in 1994 as an online bookstore and headquartered in Seattle, Washington. It operates the world's largest online marketplace together with a global logistics network, physical grocery stores and a third-party seller platform that accounts for most units sold. Amazon Web Services, launched in 2006, is the leading public cloud provider and generates the majority of the group's operating profit, while advertising, Prime Video, Alexa devices and Kuiper satellite broadband round out the business.

Come build the future of data with us! Amazon Web Services (AWS) is seeking a senior, experienced, and motivated Data Specialist Solutions Architect (SSA) to help our Strategic Accounts customers architect the next generation of data platforms that power agentic AI and advanced analytics workloads. You should possess a unique balance of deep technical expertise in modern data technologies, business acumen, and exceptional interpersonal skills. In this role, you will partner with our most valuable customers to design enterprise-wide data strategies that connect siloed data across organizations in secure, scalable, and innovative ways using AWS, partner, and open-source data technologies.

You will make a significant impact working directly with customer executives, forming trusted relationships as you help them define and execute their data modernization roadmaps.

You will collaborate with AWS service teams to influence product direction and advocate for new features and capabilities based on Strategic Accounts needs. Our customers are industry leaders, and if you have what it takes to guide these critical accounts through complex data transformation initiatives, AWS wants to talk to you.

The ability to bridge database, storage, analytics, and artificial intelligence technologies is essential for the Data SSA function. You should demonstrate strategic thinking about business challenges in the Agentic AI era and articulate technical solutions to address them. As a trusted customer advocate, you will develop comprehensive data technology strategies for our largest Strategic Accounts customers operating in complex, multi-faceted environments. You will interface with customer leadership to build relationships and enable them as data strategy champions. You will guide customers in designing advanced cloud-based data architectures, implementing innovative technologies across AWS services (including Amazon RDS, Aurora, Redshift, Athena, EMR, Glue, Kinesis, MSK), partner solutions (Snowflake, Databricks), and open-source frameworks (Spark, Flink, Trino), while adopting the best cloud practices for databases, storage, and analytics services. You will share your successes and learnings with the broader AWS SA community.

Open to traveling up to 25% domestic with some international travel.

Key job responsibilities

Customer Engagement & Solutions Design

Work closely with customers to design, implement, and manage AWS, OSS and partner data solutions that meet their technical requirements and business objectives, serving as a key player in driving customer success through their cloud journey.

Delivering on-site technical assessments with partners and customers, participating in customer visits, understanding customer requirements, and creating reference architectures utilizing AWS, partner and OSS analytics, database and storage, solutions.

Engaging with customer business and technology stakeholders to create a compelling vision of a modern data ecosystem to support a world where agents are the primary consumers of data.

Data Architecture Design & Implementation

Help customers define and implement data architectures including data lakes and lakehouses to meet the demands of an agentic future while proving the value of AWS infrastructure to support new distributed computing solutions that often span private cloud and public cloud services.

Technical Leadership & Advisory

As trusted advisors to customers, provide guidance on industry trends, emerging technologies, and innovative solutions while leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

This includes:

Working closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.

Owning technical engagements and ensuring timely and successful value delivery.

Project Delivery & Oversight

Overseeing project delivery and ensuring compliance with security and governance standards.

Owning the planning, execution, technical engagement, and outcomes of specific implementation projects and assignments.

Collaboration & Communication

Collaborating with sales and technical teams to create proposals and assess customer needs.

Communicating with internal teams like Account Managers, Service Teams and Go-to-Market, bridging the gap between technical and non-technical stakeholders.

A day in the life

As a senior member of the account team, you will drive customer satisfaction and revenue growth across a strategic portfolio. You will interact, communicate, and partner with other AWS organizations including service teams, marketing, professional services, and business development to represent your customers' needs to AWS executive leadership. You will think strategically about business, product, and technical challenges while maintaining a passion for educating, training, and designing innovative cloud data solutions for enterprise customers.

About the team

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the 8 description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

The AWS Industries team is committed to helping industry customers enable their digital transformation journeys. Our primary goal is to meet customers where they are in their cloud journey and work backwards from their industry specific needs to transform their business and their entire industry. Our team speaks the language of our industry customers, which means that we focus on business outcomes and industry use cases on behalf of our customers, whether that is how we build products and solutions, how we sell, how we deliver, or how we partner.

Basic qualifications

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

- 3+ years of design, implementation, or consulting in applications and infrastructures experience

- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments

Preferred qualifications

- 5+ years of infrastructure architecture, database architecture and networking experience

- Experience working with end user or developer communities

- Bachelor's degree in computer science, engineering, mathematics or equivalent

- Knowledge of cloud architecture

- Knowledge of AWS services, market segments, customer base and industry verticals

- Experience leading and influencing your team or organization, or experience building complex software systems that have been successfully delivered to customers

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 Diego - 153,600.00 - 207,800.00 USD annually

USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually

USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually

USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,898,234 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Solutions
Similar stack
Same company
Seattle
$266k – $394k per year • Equity • Remote (United States) • Full-Time • 7+ years exp • Bachelor's Degree • New York
Apply
$212k – $308k per year • Equity • Hybrid • Full-Time • 5+ years exp • Richfield
Apply
$212k – $308k per year • Equity • Remote (United States) • Full-Time • 5+ years exp • Bachelor's Degree • San Jose • San Francisco
DevOps
AWS
Cybersecurity
Zero Trust
Apply
$107k – $143k per year • Hybrid • TS/SCI • 8+ years exp • Bachelor's Degree • Washington
SQL
PowerShell
C#
Databases
Microsoft Fabric
DevOps
Rest API
Azure DevOps
GitLab CI
Azure
CI/CD
Cybersecurity
Microsoft Entra ID
Analytics
ETL/ELT
SSIS
Azure Data Factory
Master Data Management
Management
Power Automate
Power Apps
Apply
≈ $110k – $229k per year (Estimated) • Hybrid • Full-Time • Atlanta
Apply
Data Engineer 27 days ago
Hybrid • Full-Time • 20+ years exp • Bachelor's Degree • Athens
Python
SQL
Python
pySpark
Databases
Databricks
AI/ML
Spark
Dagster
Prefect
DevOps
Azure
Git
Analytics
Power BI
ETL/ELT
SSIS
Azure Data Factory
SSAS
Data Vault
Apply
$207k – $280k per year • Equity • In office • Full-Time • 10+ years exp • Bachelor's Degree • Santa Clara
AI/ML
AI Agents
AWS Bedrock
DevOps
AWS
Apply
$144k – $194k per year • Equity • In office • Full-Time • 3+ years exp • Bachelor's Degree • Seattle
Java
C#
C++
Perl
AI/ML
AI Agents
Agentic Workflows
DevOps
AWS
Apply
$169k – $229k per year • Equity • In office • Full-Time • 3+ years exp • Austin
Python
JavaScript
Node JS
Databases
DynamoDB
OpenSearch
AI/ML
Model Context Protocol
Prompt Engineering
Function Calling
Chain-of-Thought
AI Agents
AWS Bedrock
LLM
RAG
A2A
LLM Guardrails
Multi-Agent Systems
DevOps
Rest API
Terraform
AWS
AWS Lambda
Amazon S3
AWS Step Functions
API Gateway
Cybersecurity
GDPR
HIPAA
Least Privilege
Apply
$181k – $245k per year • Equity • In office • Full-Time • 7+ years exp • Seattle
AI/ML
AI Agents
DevOps
AWS
Management
Agile
Apply
$169k – $229k per year • Equity • In office • Full-Time • 3+ years exp • Austin
Python
JavaScript
Node JS
Databases
DynamoDB
OpenSearch
AI/ML
Model Context Protocol
Prompt Engineering
Function Calling
Chain-of-Thought
AI Agents
AWS Bedrock
LLM
RAG
A2A
LLM Guardrails
Multi-Agent Systems
DevOps
Rest API
Terraform
AWS
AWS Lambda
Amazon S3
AWS Step Functions
API Gateway
Cybersecurity
GDPR
HIPAA
Least Privilege
Apply
$154k – $208k per year • Equity • In office • Full-Time • 10+ years exp • Bachelor's Degree • Boston
DevOps
GCP
Azure
AWS
Apply
$131k – $178k per year • Equity • In office • Full-Time • 5+ years exp • Bachelor's Degree • Bellevue
AI/ML
Machine Learning
DevOps
AWS
Apply
$169k – $229k per year • Equity • In office • Full-Time • 9+ years exp • Bachelor's Degree • New York
Databases
DynamoDB
DevOps
AWS
AWS Lambda
Amazon EC2
Amazon S3
Apply
$169k – $229k per year • Equity • In office • Full-Time • 3+ years exp • Arlington
Apply
≈ $116k – $237k per year (Estimated) • In office • 6+ years exp • Bachelor's Degree • Seattle
DevOps
GCP
Apply
$192k – $305k per year • In office • Full-Time • 5+ years exp • Master's Degree • Seattle
AI/ML
Machine Learning
Apply
$200k – $400k per year • Remote (United States) • 3+ years exp • Master's Degree • Seattle
AI/ML
RLHF
Prompt Engineering
Machine Learning
Apply
$143k – $193k per year • Equity • In office • Full-Time • PhD • Seattle
Python
Java
C++
Perl
AI/ML
Multimodal AI
AI Agents
LLM
Interpretability
Machine Learning
Apply
$143k – $193k per year • Equity • In office • Full-Time • 4+ years exp • Master's Degree • Seattle
Python
Java
C++
AI/ML
AI Agents
DevOps
Linux
Unix
Apply
See all jobs
This is one of many
1,898,234 more open roles from verified company boards, updated every day.