
Sr. Specialist Analytics Solutions Architect, Amazon Web Services, Wwps Slg-Edu Data And AI Specialists
Job Description
Summary
Lead AWS public sector customers in transforming data with cloud analytics and AI, designing scalable, secure solutions.
Join AWS’s Worldwide Public Sector (WWPS) Solutions Architecture team as a Senior Analytics Specialist Solutions Architect. You will empower government, education, and nonprofit customers to transform their data strategies using cutting-edge AWS analytics, AI, and generative AI services. This role involves acting as a technical leader, trusted advisor, and builder, designing and implementing impactful cloud-native data solutions.
- *Key Responsibilities:**
- Lead technical engagements focused on data lakes, data warehousing, real-time analytics, and AI/ML use cases.
- Deliver proofs-of-concept and workshops showcasing AWS analytics and Generative AI (GenAI) services.
- Collaborate with C-level executives, developers, and IT leaders to design scalable, secure, and cost-effective data architectures.
- Influence AWS product roadmaps by representing crucial customer needs.
- Create and disseminate technical content, including reference architectures, whitepapers, and enablement materials.
- Mentor and enable AWS field solution architects across WWPS teams.
- Travel up to 30% to engage with customers and partners.
- *Basic Qualifications:**
- 8+ years of experience in data & analytics, software development, or cloud infrastructure.
- 3+ years designing and implementing analytics or data platforms.
- Deep expertise in cloud data services such as data lakes, data warehouses, big data, search, and streaming.
- Proven experience architecting and migrating large-scale data solutions to the cloud.
- *Preferred Qualifications:**
- 5+ years in infrastructure architecture, database architecture, or networking.
- 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.
- *Why AWS?**
- *Compensation & Benefits:**
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Company Details
About
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered, pay-as-you-go basis. Clients will often use this in combination with autoscaling. These cloud computing web services provide various services related to networking, compute, storage, middleware, IoT and other processing capacity, as well as software tools via AWS server farms. This frees clients from managing, scaling, and patching hardware and operating systems. One of the foundational services is Amazon Elastic Compute Cloud (EC2), which allows users to have at their disposal a virtual cluster of computers, with extremely high availability, which can be interacted with over the internet via REST APIs, a CLI or the AWS console. AWS's virtual computers emulate most of the attributes of a real computer, including hardware central processing units (CPUs) and graphics processing units (GPUs) for processing; local/RAM memory; hard-disk (HDD)/SSD storage; a choice of operating systems; networking; and pre-loaded application software such as web servers, databases, and customer relationship management (CRM).