Are you an expert in modern data and analytic technology, such as distributed database, data warehouse, big data, stream computing, or analytic and data science? Do you have machine learning, data scientist or data architect experience? Join the Worldwide Specialist Organization (WWSO) AI/ML/GenAI team as a GTM Specialist Solutions Architect! and help key customers to develop data driven initiatives while solving the most complex and high scale data challenges in the world today.
The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
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.
Key job responsibilities • Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. • Lead curation of custom feature and availability requests for unique customer use cases. • Provide advanced technical knowledge to your aligned GTM teams to unblock our customers’ largest and most critical business challenges. • Along with your extended team, own the technical bar for specialist technical artifacts and standards. • Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. • Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. • Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. • Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
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About the team SSAs are part of the Worldwide Specialist Organization (WWSO) which builds and executes go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. Our teams include business development, specialist sales, and specialist solutions architecture, working together to provide customer-obsessed solutions that help people run their businesses more effectively. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
Basic Qualifications
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience working with data and analytics
- 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Familiar with services and products related to data analysis, for example: Redshift, EMR, ElasticSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc.
Preferred Qualifications
- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- 8+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- Experience with AWS technologies
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