AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise able to address advanced concepts and feature designs. As part of the AWS sales organization SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable flexible and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.
Analytics Specialist Solutions Architects combine technical skills in analytics business acumen and technical sales skills. They are focused on supporting customers throughout the engagement lifecycle and work closely with the teams that support implementation including AWS Professional Services and Partners. SSAs unblock customers and help them get to production faster. Joining AWS as a Specialist Solutions Architect will give you opportunities to work on interesting and challenging problems collaborate with a group of skilled practitioners focused on delivering outcomes for our customers and be part of a diverse and inclusive community committed to being Earths Best Employer.
Key job responsibilities
As a key member of the AWS Specialist Solutions Architecture team your work will include:
Working closely with our product and field teams you will help enable new capabilities for our customers to develop and deploy data workloads on AWS infrastructure
Design best in class storage infrastructure solutions for all stages of customer and product lifecycles.
Partner with SAs Sales Business Development and Service teams to accelerate customer adoption and revenue attainment.
You will also work closely with account teams research scientists and product teams to drive model implementations and new solutions.
Share best practices through forums such as AWS blogs whitepapers reference architectures and public-speaking events such as AWS Summit AWS re: Invent etc.
Act as a technical liaison between customers and the AWS teams to provide customer driven product improvement feedback.
Develop and support an AWS internal community of related subject matter experts.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its 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. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve in the cloud.
- 7 years of design implementation or consulting in applications and infrastructures experience
- 5 years of specific technology domain areas and sales experience (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics)
- 3 years of implementation and architecture experience in big data data warehousing data lake operational analytics data migration and integration scenarios. (Amazon EMR Hadoop Spark R Presto Hive Amazon Redshift Teradata Vertica Glue Data Migration Services)
- 3 years of implementation and architecture experience in ml ops model hosting model validation data processing. (Amazon SageMaker Amazon Bedrock Kubeflow MLflow)
- Bachelors degree
- Knowledge of AWS services market segments customer base and industry verticals
- Bachelors degree in computer science engineering mathematics or equivalent
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
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
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.