GTM Specialist SA Analytics France, EMEA GTM Data and AI Solutions Architecture

Amazon; Courbevoie; Sur place; EUR 65 000 - 85 000; Plein temps

Résumé du poste

A leading technology company is seeking a GTM Specialist Solutions Architect to leverage their expertise in analytics and cloud technologies. You will collaborate with teams to address complex business challenges and provide solutions that drive customer success. Ideal candidates have extensive experience in data analysis and AI/ML projects, along with strong technical knowledge related to AWS services.

Qualifications

• Experience in analytics area, especially in data warehouse and data lake technologies.
• Familiar with services and products like Redshift, EMR, Flink.
• Experience working within software development or Internet-related industries.

Responsabilités

• Represent the voice of the customer in feature and availability requests.
• Provide advanced technical knowledge to tackle business challenges.
• Collaborate to provide technical insights into GTM strategy.

Connaissances

Experience in analytics

Familiarity with data analysis services

Experience with AI/ML projects

Customer-facing roles

Outils

Redshift

EMR

ElasticSearch

Spark

Kafka

Description du poste

Overview

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 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.

Key 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.

A day in the life

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred 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.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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.

Qualifications

• The essential requirement includes experience in analytics area, especially in data warehouse and data lake technologies.
• Familiar with services and products related to data analysis, for example: Redshift, EMR, ElasticSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc.
• Experience with Data and AI projects and tool usage.
• Experience working within software development or Internet-related industries.
• Experience migrating or transforming legacy customer solutions to the cloud.
• Experience working with AWS technologies from a dev/ops perspective.
• Experience with AI/ML projects.
• Experience in customer-facing roles.

Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifiée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit the information page for accommodations for more details. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.