Amazon Web Services, Inc.

Cloud Computing

Sr.Analytics&AISpecialistSolutionsArchitect,AGS-NAMER-US-COV-SPEC-SA-Data&AI-Analytics

$176–239k Mountain View, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Analytics & AI Specialist Solutions Architect, AGS-NAMER-US-COV-SPEC-SA-Data&AI-Analytics at Amazon Web Services, Inc.. Skills: Analytics, AI, Solutions Architecture, Data Engineering. Provide deep technical expertise. Advance adoption of AWS products”

What You'll Achieve.

Accelerate customer success; Enable customer adoption; Enable customer growth

Industry & Context.

Cloud Computing
Problems you'll solve

Solve challenging problems; Solve complex challenges

What They're Looking For.

Must Have

8+ years specific technology domain experience, 3+ years design, implementation, or consulting experience, 10+ years IT development or implementation/consulting experience

Nice to Have

Knowledge of open table formats, Understanding of data foundation principles

What You'll Do.

Provide deep technical expertise

Advance adoption of AWS products

Collaborate with specialist teams

Collaborate with sales teams

Collaborate with marketing teams

Collaborate with product teams

Ideate around customer problems

Act as trusted advisor

Lead architectural reviews

Advance customer technical objectives

Act as thought leader

Participate in technical communities

Educate customers on value proposition

Participate in architectural discussions

Ensure solutions are designed for cloud

Provide data on what is working

Provide data on what is not

Act as primary point of contact

Handle urgent customer issues

How You'll Work.

Team & Collaboration

Partnering across company; Work with technical leaders; Work with business leaders; Join forces with Account Managers; Join forces with Business Development; Join forces with Service Teams; Part of Account Team; Work directly with customers; Work with product teams

Communication Scope

Public speaking

Process & Methodology

Account planning

Full Job Description

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. At Amazon we’ve been using AI-based products for over 20 years. Want to make history? We believe that Data is your Generative AI differentiator. Looking to solve some of the world’s most challenging data problems at scale? Come and join the AWS Analytics team – where we help our customers build and govern some of the world’s largest data lakes, massively parallel data warehouses, and some of the biggest and fastest streaming pipelines. Thousands of customers run managed analytic workloads on Amazon’s industry leading cloud computing platform. We are looking for an Analytics Specialized Solutions Architect, a Subject Matter Expert (SME) that can help customers leverage AWS services to solve their most challenging business problems. AWS Solution Architects are well-respected and highly-visible, partnering across the company to own the customer’s technical experience. We work directly with our customer’s technical and business leaders, joining forces with Account Managers, Business Development, and Service Teams to enable customer adoption and growth. 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

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