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Amazon Data Architect GFS EMEA 
France, Ile-de-France 
757455592

30.03.2025
DESCRIPTION

In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecturing complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.Key job responsibilities
Strategic Direction and Development:
• Define and develop overall strategic direction for AWS customers and internal AWS teams designing, building, optimizing, transforming, or otherwise migrating applications, software, and services on the AWS platform.
• Partner with AWS Account Manager and ProServe Sales on accelerating innovation, account strategy, and technical execution, aligning to increase business value through cloud adoption, covering people, processes, and technology aspects.
• Engage with C-level executives to guide their strategic technology initiatives and support their data transformation journeys.
• Participate in deep architectural discussions to design and architect scalable solutions on AWS to integrate data from multiple supply chain systems including WMS, TMS, ERP, and IoT devices
• Build deep relationships with senior technical individuals within customer organizations to enable them to become cloud advocates.
• Designing enterprise scale, globally distributed, highly available solutions using our Compute, Container, Serverless, Storage, Analytics, Database and Network Services
• Work hands-on with new Services, including AI/Machine Learning, Serverless/Lambda IoT, Analytics (Map Reduce, ETL), Data Warehouse, BI and Security Services to build products and solutions with our customers
• Structure and Guide our Customer’s through transformation journey, collaborating widely with business stakeholders to understand supply chain requirements and translate them into technical solutions
• Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings and delivering them as part of our projectsA day in the life
About the team
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.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

BASIC QUALIFICATIONS

- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
- 5+ years hands on experience in IT implementation or leading IT Projects in Architecture, Data Engineering or Development.
- Business fluent verbal and written communication skills in French and English


PREFERRED QUALIFICATIONS

- AWS Certified Solutions Architecture (Associate or Professional), or other speciality
- Experience implementing services and solutions on Customer Projects using AWS Big Data, Analytics, AI /ML or Data Science solutions
- Hands on experience leading large-scale global data warehousing and analytics projects.
- Experience designing and coding in Python or Scala or building ETL or data ingestion pipelines
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