Sr. Specialist Analytics Solutions Architect, Amazon Web Services, Wwps Slg-Edu Data And AI Specialists
Job Description
Summary
Lead AWS Public Sector customers in designing and implementing advanced cloud analytics, AI, and data solutions as a Senior Specialist Solutions Architect.
AWS is seeking a Senior Analytics Specialist Solutions Architect (SSA) to join our Worldwide Public Sector (WWPS) team. In this role, you will empower government, education, and nonprofit customers to transform their data strategies using cutting-edge AWS cloud services. You'll serve as a technical leader and trusted advisor, partnering with customers and internal teams to design, build, and launch impactful analytics and AI solutions.
- *Key Responsibilities:**
- Lead technical engagements for data lakes, data warehousing, real-time analytics, and AI/ML initiatives.
- Deliver proof-of-concepts and workshops showcasing AWS analytics and Generative AI services.
- Collaborate with CxOs, developers, and IT leaders to design scalable, secure, and cost-effective data architectures.
- Influence AWS service teams by representing customer needs and shaping product roadmaps.
- Create reusable technical content, including reference architectures, whitepapers, and enablement materials.
- Mentor field solution architects and drive internal enablement across AWS 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 of experience designing and implementing analytics or data platforms.
- Deep expertise in cloud data services (data lakes, data warehouses, big data, search, streaming).
- Experience with architecture and migration of large-scale data solutions to the cloud.
- *Preferred Qualifications:**
- 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.
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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).