Senior Solutions Architect Specialist Analytics, AGS France

Amazon; Courbevoie; Sur place; EUR 60 000 - 85 000; Plein temps

Résumé du poste

Amazon Web Services (AWS) recherche un Architecte de Solutions expérimenté pour transformer l'analyse de données en France. Vous collaborerez avec des entreprises de premier plan sur des solutions AWS innovantes, servant de leader technique et aidant à la migration vers le cloud. Une forte expertise en architecture cloud et en analyse de données est impérative pour ce rôle.

Qualifications

• 7 ans d'expérience dans la conception et la mise en œuvre de systèmes informatiques complexes.
• Expérience en stratégie de données sur AWS.
• Capacité à travailler avec des clients et des parties prenantes.

Responsabilités

• Concevoir et architecturer des solutions sécurisées et évolutives sur AWS.
• Agir en tant qu'expert sur les analyses AWS.
• Créer des documents techniques et des guides d'implémentation.

Connaissances

Architecture Cloud

Analyse de données

Consultation technique

Formation

diplôme avancé en informatique ou discipline connexe

Outils

Amazon EMR

Hadoop

Spark

Amazon Redshift

Glue

Description du poste

Are you ready to shape the future of data analytics in France? We're seeking an experienced Solutions Architect to help transform how French customers leverage cloud technology. As a member of our specialist team, you'll partner with France's leading enterprise organizations to architect and implement transformative AWS Analytics solutions, while driving innovation and adoption of advanced AWS services for large-scale use cases.

In this role, you'll design and architect scalable, secure, and cost-effective solutions using AWS's comprehensive Analytics stack. You'll serve as a technical thought leader, providing expert consultation to customers and fellow Solution Architects while creating valuable technical content including white papers, reference architectures, blogs, and implementation guides. Your expertise will be crucial in helping customers navigate complex cloud migrations while optimizing for their specific mission requirements.

The ideal candidate brings deep expertise in data analytics and cloud architecture, combined with strong consultative skills and the ability to translate complex technical concepts for diverse audiences. You should have a track record of successfully leading large-scale technical implementations and a passion for working backwards from customer needs to develop innovative solutions.

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
• Be a subject matter expert on AWS Analytics for our Account teams and customers.
• Represent the voice of the customer; bring customer feedback to product teams to influence feature development and future product roadmap.
• Provide advanced technical knowledge to unblock our customers’ largest and most critical business challenges.
• You will have the technical depth and business experience to deploy data strategies.
• 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.
• Partner with other Specialist teams to define the technical components of best in class GTM concepts, solutions, and initiatives.
• Create field enablement materials for the broader SA population, to help them understand how to integrate data solutions into customer architectures.

About the team
Diverse Experiences
Amazon 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.

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.

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 empower 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 and 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.
• Seven years of experience in the design and implementation of complex IT systems
• Current implementation and architecture experience in big data, data warehousing, data lake, operational analytics, streaming, search, ETL, data migration, data visualization, or integration scenarios.
• Experience working with customers and stakeholders and driving outcomes in a pre-sales capacity
• Fluent written and verbal communication in English and French• An advanced degree in computer science, MIS, engineering or related discipline
• Hands-on experience with Amazon Web Services analytics services (examples include Amazon EMR, Hadoop, Spark, Presto, Hive, Amazon Redshift, Glue, Data Migration Services)
• Demonstrated industry thought leadership in the fields of Big Data processing, Database, Data Warehousing, or Data Sciences
• Deep understanding of data, application, server, and network security
• 3+ years of design, implementation, or consulting in analytics and AI experience

Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée 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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.