Amazon Sr Specialist Analytics Solutions Architect 

United States, Texas, Arlington 

850415576

As an SSA, you will serve as a technical leader, builder, and trusted advisor. You’ll partner with AWS field teams, service teams, and technology and consulting partners to deliver prototypes, workshops, technical assets, and reference architectures. Your work will drive customer success, enable scale, and shape AWS’s analytics and AI strategy in the public sector.
Key job responsibilities
• Lead technical engagements focused on data lakes, data warehousing, real-time analytics, and AI/ML use cases
• Deliver proof-of-concepts and workshops that demonstrate the value of AWS analytics and GenAI services
• Collaborate with CxOs, developers, data scientists, and IT leaders to design scalable, secure, and cost effective data architectures
• Influence product and roadmap decisions by representing customer needs to AWS service teams
• Create reusable technical content including reference architectures, whitepapers, blog posts, and enablement materials
• Mentor field solution architects and drive internal enablement across AWS WWPS teams
• Travel up to 30% to engage with customers and partnersAbout AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job 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.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

- 8+ years of experience in data & analytics, software development, or cloud infrastructure
- 3+ years of experience designing and implementing analytics or data platforms
- Deep expertise in cloud data services such as data lakes, data warehouses, big data, search, and streaming
- Experience with architecture and migration of large-scale data solutions to the cloud

- 5+ years of infrastructure architecture, database architecture and networking experience
- Familiarity with GenAI, AI/ML tools, and their integration into data platforms
- Hands-on experience with AWS analytics services (e.g., Redshift, Glue, Athena, Kinesis, QuickSight)
- AWS certification(s) in Data Analytics, Machine Learning, or Solutions Architecture
- Demonstrated ability to lead technical customer engagements and build lasting relationships